Face Generation

In this project, you'll use generative adversarial networks to generate new images of faces.

Get the Data

You'll be using two datasets in this project:

  • MNIST
  • CelebA

Since the celebA dataset is complex and you're doing GANs in a project for the first time, we want you to test your neural network on MNIST before CelebA. Running the GANs on MNIST will allow you to see how well your model trains sooner.

If you're using FloydHub, set data_dir to "/input" and use the FloydHub data ID "R5KrjnANiKVhLWAkpXhNBe".

In [1]:
data_dir = './data'

# FloydHub - Use with data ID "R5KrjnANiKVhLWAkpXhNBe"
#data_dir = '/input'


"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
import helper

helper.download_extract('mnist', data_dir)
helper.download_extract('celeba', data_dir)
Found mnist Data
Found celeba Data

Explore the Data

MNIST

As you're aware, the MNIST dataset contains images of handwritten digits. You can view the first number of examples by changing show_n_images.

In [2]:
show_n_images = 25

"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
%matplotlib inline
import os
from glob import glob
from matplotlib import pyplot

mnist_images = helper.get_batch(glob(os.path.join(data_dir, 'mnist/*.jpg'))[:show_n_images], 28, 28, 'L')
pyplot.imshow(helper.images_square_grid(mnist_images, 'L'), cmap='gray')
Out[2]:
<matplotlib.image.AxesImage at 0x7fa11603d240>

CelebA

The CelebFaces Attributes Dataset (CelebA) dataset contains over 200,000 celebrity images with annotations. Since you're going to be generating faces, you won't need the annotations. You can view the first number of examples by changing show_n_images.

In [3]:
show_n_images = 25

"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
mnist_images = helper.get_batch(glob(os.path.join(data_dir, 'img_align_celeba/*.jpg'))[:show_n_images], 28, 28, 'RGB')
pyplot.imshow(helper.images_square_grid(mnist_images, 'RGB'))
Out[3]:
<matplotlib.image.AxesImage at 0x7fa115f1d4e0>

Preprocess the Data

Since the project's main focus is on building the GANs, we'll preprocess the data for you. The values of the MNIST and CelebA dataset will be in the range of -0.5 to 0.5 of 28x28 dimensional images. The CelebA images will be cropped to remove parts of the image that don't include a face, then resized down to 28x28.

The MNIST images are black and white images with a single color channel while the CelebA images have 3 color channels (RGB color channel).

Build the Neural Network

You'll build the components necessary to build a GANs by implementing the following functions below:

  • model_inputs
  • discriminator
  • generator
  • model_loss
  • model_opt
  • train

Check the Version of TensorFlow and Access to GPU

This will check to make sure you have the correct version of TensorFlow and access to a GPU

In [4]:
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
from distutils.version import LooseVersion
import warnings
import tensorflow as tf

# Check TensorFlow Version
assert LooseVersion(tf.__version__) >= LooseVersion('1.0'), 'Please use TensorFlow version 1.0 or newer.  You are using {}'.format(tf.__version__)
print('TensorFlow Version: {}'.format(tf.__version__))

# Check for a GPU
if not tf.test.gpu_device_name():
    warnings.warn('No GPU found. Please use a GPU to train your neural network.')
else:
    print('Default GPU Device: {}'.format(tf.test.gpu_device_name()))
TensorFlow Version: 1.0.1
Default GPU Device: /gpu:0

Input

Implement the model_inputs function to create TF Placeholders for the Neural Network. It should create the following placeholders:

  • Real input images placeholder with rank 4 using image_width, image_height, and image_channels.
  • Z input placeholder with rank 2 using z_dim.
  • Learning rate placeholder with rank 0.

Return the placeholders in the following the tuple (tensor of real input images, tensor of z data)

In [5]:
import problem_unittests as tests

def model_inputs(image_width, image_height, image_channels, z_dim):
    """
    Create the model inputs
    :param image_width: The input image width
    :param image_height: The input image height
    :param image_channels: The number of image channels
    :param z_dim: The dimension of Z
    :return: Tuple of (tensor of real input images, tensor of z data, learning rate)
    """
    input_real = tf.placeholder(tf.float32, [None, image_width,image_height,image_channels], name='input_real')
    input_z = tf.placeholder(tf.float32, [None, z_dim], name='input_z')
    learning_rate = tf.placeholder(tf.float32, name='learning_rate')
    
    return (input_real, input_z, learning_rate)


"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_model_inputs(model_inputs)
Tests Passed

Discriminator

Implement discriminator to create a discriminator neural network that discriminates on images. This function should be able to reuse the variables in the neural network. Use tf.variable_scope with a scope name of "discriminator" to allow the variables to be reused. The function should return a tuple of (tensor output of the discriminator, tensor logits of the discriminator).

In [18]:
def discriminator(images, reuse=False):
    """
    Create the discriminator network
    :param images: Tensor of input image(s)
    :param reuse: Boolean if the weights should be reused
    :return: Tuple of (tensor output of the discriminator, tensor logits of the discriminator)
    """
    alpha = 0.2
    keep_prob = 0.8
    
    with tf.variable_scope('discriminator', reuse=reuse):
        # Input layer is 28x28x1
        x1 = tf.layers.conv2d(images, 64, 5, strides=2, padding='same', 
                              kernel_initializer=tf.contrib.layers.xavier_initializer_conv2d())
        x1 = tf.nn.dropout(x1, keep_prob=keep_prob)
        x1 = tf.maximum(alpha * x1, x1)
        # 14x14x64
        #print(relu1.shape)
        x2 = tf.layers.conv2d(x1, 128, 5, strides=2, padding='same',
                              kernel_initializer=tf.contrib.layers.xavier_initializer_conv2d())
        x2 = tf.nn.dropout(x2, keep_prob=keep_prob)
        x2 = tf.layers.batch_normalization(x2, training=True)
        x2 = tf.maximum(alpha * x2, x2)
        # 7x7x128
        #print(relu2.shape)
        x3 = tf.layers.conv2d(x2, 256, 5, strides=2, padding='same',
                              kernel_initializer=tf.contrib.layers.xavier_initializer_conv2d())
        x3 = tf.nn.dropout(x3, keep_prob=keep_prob)
        x3 = tf.layers.batch_normalization(x3, training=True)
        x3 = tf.maximum(alpha * x3, x3)
        # 4x4x256        
        #print(relu3.shape)
        # Flatten it
        flat = tf.reshape(x3, (-1, 4*4*256))
        #print(flat.shape)
        logits = tf.layers.dense(flat, 1)
        out = tf.sigmoid(logits)
        
    return (out, logits)


"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_discriminator(discriminator, tf)
Tests Passed

Generator

Implement generator to generate an image using z. This function should be able to reuse the variables in the neural network. Use tf.variable_scope with a scope name of "generator" to allow the variables to be reused. The function should return the generated 28 x 28 x out_channel_dim images.

In [19]:
def generator(z, out_channel_dim, is_train=True):
    """
    Create the generator network
    :param z: Input z
    :param out_channel_dim: The number of channels in the output image
    :param is_train: Boolean if generator is being used for training
    :return: The tensor output of the generator
    """
    alpha = 0.2
    keep_prob = 0.8
    
    with tf.variable_scope('generator',reuse=not is_train):
        # First fully connected layer
        x1 = tf.layers.dense(z, 2*2*512)
        # Reshape it to start the convolutional stack
        x1 = tf.reshape(x1, (-1, 2, 2, 512))
        x1 = tf.layers.batch_normalization(x1, training=is_train)
        x1 = tf.maximum(alpha * x1, x1)
        # 4x4x256 now
        #print(x1.shape)
        x2 = tf.layers.conv2d_transpose(x1, 256, 5, strides=2, padding='valid',
                            kernel_initializer=tf.contrib.layers.xavier_initializer_conv2d())
        x2 = tf.nn.dropout(x2, keep_prob=keep_prob)
        x2 = tf.layers.batch_normalization(x2, training=is_train)
        x2 = tf.maximum(alpha * x2, x2)
        # 8x8x128 now
        #print(x2.shape)
        # Output layer
        
        x3 = tf.layers.conv2d_transpose(x2, 128, 5, strides=2, padding='same',
                            kernel_initializer=tf.contrib.layers.xavier_initializer_conv2d())
        x3 = tf.nn.dropout(x3, keep_prob=keep_prob)
        x3 = tf.layers.batch_normalization(x3, training=is_train)
        x3 = tf.maximum(alpha * x3, x3)
        #print(x3.shape)
        
        logits = tf.layers.conv2d_transpose(x3, out_channel_dim, 5, strides=2, padding='same',
                            kernel_initializer=tf.contrib.layers.xavier_initializer_conv2d())
        
        # 28x28xoutput_dim now
        #print(logits.shape)
        out = tf.tanh(logits)   
    return out


"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_generator(generator, tf)
Tests Passed

Loss

Implement model_loss to build the GANs for training and calculate the loss. The function should return a tuple of (discriminator loss, generator loss). Use the following functions you implemented:

  • discriminator(images, reuse=False)
  • generator(z, out_channel_dim, is_train=True)
In [20]:
def model_loss(input_real, input_z, out_channel_dim):
    """
    Get the loss for the discriminator and generator
    :param input_real: Images from the real dataset
    :param input_z: Z input
    :param out_channel_dim: The number of channels in the output image
    :return: A tuple of (discriminator loss, generator loss)
    """
    
    g_model = generator(input_z, out_channel_dim, is_train=True)
    
    d_model_real, d_logits_real = discriminator(input_real, reuse=False)
    d_model_fake, d_logits_fake = discriminator(g_model, reuse=True)
    
    d_loss_real = tf.reduce_mean(
                  tf.nn.sigmoid_cross_entropy_with_logits(logits=d_logits_real, 
                                                          labels=tf.ones_like(d_logits_real) * (0.9)))

    d_loss_fake = tf.reduce_mean(
        tf.nn.sigmoid_cross_entropy_with_logits(logits=d_logits_fake, labels=tf.zeros_like(d_model_fake)))
    g_loss = tf.reduce_mean(
        tf.nn.sigmoid_cross_entropy_with_logits(logits=d_logits_fake, labels=tf.ones_like(d_model_fake)))

    d_loss = d_loss_real + d_loss_fake

    return d_loss, g_loss

"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_model_loss(model_loss)
Tests Passed

Optimization

Implement model_opt to create the optimization operations for the GANs. Use tf.trainable_variables to get all the trainable variables. Filter the variables with names that are in the discriminator and generator scope names. The function should return a tuple of (discriminator training operation, generator training operation).

In [21]:
def model_opt(d_loss, g_loss, learning_rate, beta1):
    """
    Get optimization operations
    :param d_loss: Discriminator loss Tensor
    :param g_loss: Generator loss Tensor
    :param learning_rate: Learning Rate Placeholder
    :param beta1: The exponential decay rate for the 1st moment in the optimizer
    :return: A tuple of (discriminator training operation, generator training operation)
    """
    # Get weights and bias to update
    t_vars = tf.trainable_variables()
    d_vars = [var for var in t_vars if var.name.startswith('discriminator')]
    g_vars = [var for var in t_vars if var.name.startswith('generator')]

    # Optimize
    with tf.control_dependencies(tf.get_collection(tf.GraphKeys.UPDATE_OPS)):
        d_train_opt = tf.train.AdamOptimizer(learning_rate, beta1=beta1).minimize(d_loss, var_list=d_vars)
        g_train_opt = tf.train.AdamOptimizer(learning_rate, beta1=beta1).minimize(g_loss, var_list=g_vars)
   
    return d_train_opt, g_train_opt


"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_model_opt(model_opt, tf)
Tests Passed

Neural Network Training

Show Output

Use this function to show the current output of the generator during training. It will help you determine how well the GANs is training.

In [22]:
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
import numpy as np

def show_generator_output(sess, n_images, input_z, out_channel_dim, image_mode):
    """
    Show example output for the generator
    :param sess: TensorFlow session
    :param n_images: Number of Images to display
    :param input_z: Input Z Tensor
    :param out_channel_dim: The number of channels in the output image
    :param image_mode: The mode to use for images ("RGB" or "L")
    """
    cmap = None if image_mode == 'RGB' else 'gray'
    z_dim = input_z.get_shape().as_list()[-1]
    example_z = np.random.uniform(-1, 1, size=[n_images, z_dim])

    samples = sess.run(
        generator(input_z, out_channel_dim, False),
        feed_dict={input_z: example_z})

    images_grid = helper.images_square_grid(samples, image_mode)
    pyplot.imshow(images_grid, cmap=cmap)
    pyplot.show()

Train

Implement train to build and train the GANs. Use the following functions you implemented:

  • model_inputs(image_width, image_height, image_channels, z_dim)
  • model_loss(input_real, input_z, out_channel_dim)
  • model_opt(d_loss, g_loss, learning_rate, beta1)

Use the show_generator_output to show generator output while you train. Running show_generator_output for every batch will drastically increase training time and increase the size of the notebook. It's recommended to print the generator output every 100 batches.

In [23]:
def train(epoch_count, batch_size, z_dim, learning_rate, beta1, get_batches, data_shape, data_image_mode):
    """
    Train the GAN
    :param epoch_count: Number of epochs
    :param batch_size: Batch Size
    :param z_dim: Z dimension
    :param learning_rate: Learning Rate
    :param beta1: The exponential decay rate for the 1st moment in the optimizer
    :param get_batches: Function to get batches
    :param data_shape: Shape of the data
    :param data_image_mode: The image mode to use for images ("RGB" or "L")
    """
    input_real, input_z, learn_rate = model_inputs(data_shape[1], data_shape[2], data_shape[3], z_dim)
    
    d_loss, g_loss = model_loss(input_real, input_z, data_shape[3])
    
    d_train_opt, g_train_opt = model_opt(d_loss, g_loss, learning_rate, beta1)
    
    samples, losses = [], []
    steps = 0
    print_every=10
    show_every=100
    
    with tf.Session() as sess:
        sess.run(tf.global_variables_initializer())
        for epoch_i in range(epoch_count):
            for batch_images in get_batches(batch_size):
                steps += 1
                
                batch_images *= 2.0
                                            
                # Sample random noise for G
                batch_z = np.random.uniform(-1, 1, size=(batch_size, z_dim))

                # Run optimizers
                _ = sess.run(d_train_opt, feed_dict={input_real: batch_images,
                                                     input_z: batch_z,
                                                    learn_rate: learning_rate})
                _ = sess.run(g_train_opt, feed_dict={input_z: batch_z,
                                                     input_real: batch_images,
                                                    learn_rate: learning_rate})

                if steps % print_every == 0:
                    # At the end of each epoch, get the losses and print them out
                    train_loss_d = d_loss.eval({input_z: batch_z, input_real: batch_images})
                    train_loss_g = g_loss.eval({input_z: batch_z})

                    print("Epoch {}/{}...".format(epoch_i+1, epochs),
                          "Discriminator Loss: {:.4f}...".format(train_loss_d),
                          "Generator Loss: {:.4f}".format(train_loss_g))
                    # Save losses to view after training
                    losses.append((train_loss_d, train_loss_g))

                if steps % show_every == 0:
                    show_generator_output(sess, 25, input_z, data_shape[3], data_image_mode)

MNIST

Test your GANs architecture on MNIST. After 2 epochs, the GANs should be able to generate images that look like handwritten digits. Make sure the loss of the generator is lower than the loss of the discriminator or close to 0.

In [28]:
batch_size = 64
z_dim = 100
learning_rate = 0.0005
beta1 = 0.5


"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
epochs = 2

mnist_dataset = helper.Dataset('mnist', glob(os.path.join(data_dir, 'mnist/*.jpg')))
with tf.Graph().as_default():
    train(epochs, batch_size, z_dim, learning_rate, beta1, mnist_dataset.get_batches,
          mnist_dataset.shape, mnist_dataset.image_mode)
Epoch 1/2... Discriminator Loss: 5.1324... Generator Loss: 0.0137
Epoch 1/2... Discriminator Loss: 2.2222... Generator Loss: 0.2598
Epoch 1/2... Discriminator Loss: 2.4613... Generator Loss: 0.1889
Epoch 1/2... Discriminator Loss: 2.4327... Generator Loss: 0.1890
Epoch 1/2... Discriminator Loss: 1.7741... Generator Loss: 0.3862
Epoch 1/2... Discriminator Loss: 1.2466... Generator Loss: 0.6615
Epoch 1/2... Discriminator Loss: 1.1643... Generator Loss: 0.8902
Epoch 1/2... Discriminator Loss: 1.4386... Generator Loss: 0.7568
Epoch 1/2... Discriminator Loss: 1.0147... Generator Loss: 1.0217
Epoch 1/2... Discriminator Loss: 1.0151... Generator Loss: 1.0627
Epoch 1/2... Discriminator Loss: 2.0006... Generator Loss: 0.4424
Epoch 1/2... Discriminator Loss: 1.3249... Generator Loss: 0.9245
Epoch 1/2... Discriminator Loss: 1.5221... Generator Loss: 0.6175
Epoch 1/2... Discriminator Loss: 1.8422... Generator Loss: 0.3763
Epoch 1/2... Discriminator Loss: 1.6010... Generator Loss: 0.5943
Epoch 1/2... Discriminator Loss: 1.3985... Generator Loss: 0.7756
Epoch 1/2... Discriminator Loss: 1.4369... Generator Loss: 0.5674
Epoch 1/2... Discriminator Loss: 1.2936... Generator Loss: 0.9404
Epoch 1/2... Discriminator Loss: 1.5634... Generator Loss: 0.4571
Epoch 1/2... Discriminator Loss: 1.1939... Generator Loss: 1.0640
Epoch 1/2... Discriminator Loss: 1.3253... Generator Loss: 1.1308
Epoch 1/2... Discriminator Loss: 1.2303... Generator Loss: 1.0652
Epoch 1/2... Discriminator Loss: 1.5017... Generator Loss: 1.6926
Epoch 1/2... Discriminator Loss: 1.1930... Generator Loss: 1.0528
Epoch 1/2... Discriminator Loss: 1.2333... Generator Loss: 1.0371
Epoch 1/2... Discriminator Loss: 1.1869... Generator Loss: 1.2725
Epoch 1/2... Discriminator Loss: 1.4113... Generator Loss: 1.2889
Epoch 1/2... Discriminator Loss: 1.3248... Generator Loss: 1.3936
Epoch 1/2... Discriminator Loss: 1.2191... Generator Loss: 1.5271
Epoch 1/2... Discriminator Loss: 1.2999... Generator Loss: 1.2001
Epoch 1/2... Discriminator Loss: 1.2523... Generator Loss: 1.0192
Epoch 1/2... Discriminator Loss: 1.3536... Generator Loss: 1.1149
Epoch 1/2... Discriminator Loss: 1.3641... Generator Loss: 0.6649
Epoch 1/2... Discriminator Loss: 1.4404... Generator Loss: 0.5101
Epoch 1/2... Discriminator Loss: 1.3063... Generator Loss: 0.6954
Epoch 1/2... Discriminator Loss: 1.3817... Generator Loss: 0.6081
Epoch 1/2... Discriminator Loss: 1.3128... Generator Loss: 0.7091
Epoch 1/2... Discriminator Loss: 1.2203... Generator Loss: 0.7016
Epoch 1/2... Discriminator Loss: 1.3295... Generator Loss: 0.6518
Epoch 1/2... Discriminator Loss: 1.2793... Generator Loss: 0.5946
Epoch 1/2... Discriminator Loss: 1.4154... Generator Loss: 0.5898
Epoch 1/2... Discriminator Loss: 1.3953... Generator Loss: 0.6144
Epoch 1/2... Discriminator Loss: 1.2544... Generator Loss: 0.7057
Epoch 1/2... Discriminator Loss: 1.2602... Generator Loss: 1.2107
Epoch 1/2... Discriminator Loss: 1.2872... Generator Loss: 1.3350
Epoch 1/2... Discriminator Loss: 1.3658... Generator Loss: 1.4525
Epoch 1/2... Discriminator Loss: 1.2895... Generator Loss: 1.0964
Epoch 1/2... Discriminator Loss: 1.2231... Generator Loss: 1.2141
Epoch 1/2... Discriminator Loss: 1.4160... Generator Loss: 1.5276
Epoch 1/2... Discriminator Loss: 1.2408... Generator Loss: 1.0970
Epoch 1/2... Discriminator Loss: 1.2057... Generator Loss: 1.1971
Epoch 1/2... Discriminator Loss: 1.3283... Generator Loss: 1.3669
Epoch 1/2... Discriminator Loss: 1.2525... Generator Loss: 1.0340
Epoch 1/2... Discriminator Loss: 1.5587... Generator Loss: 1.6751
Epoch 1/2... Discriminator Loss: 1.3096... Generator Loss: 1.2514
Epoch 1/2... Discriminator Loss: 1.2295... Generator Loss: 1.0530
Epoch 1/2... Discriminator Loss: 1.5507... Generator Loss: 0.4695
Epoch 1/2... Discriminator Loss: 1.3193... Generator Loss: 0.6490
Epoch 1/2... Discriminator Loss: 1.3954... Generator Loss: 0.5337
Epoch 1/2... Discriminator Loss: 1.2729... Generator Loss: 0.7786
Epoch 1/2... Discriminator Loss: 1.3599... Generator Loss: 0.5869
Epoch 1/2... Discriminator Loss: 1.2651... Generator Loss: 0.7561
Epoch 1/2... Discriminator Loss: 1.3375... Generator Loss: 0.6741
Epoch 1/2... Discriminator Loss: 1.2312... Generator Loss: 0.8437
Epoch 1/2... Discriminator Loss: 1.5046... Generator Loss: 0.4834
Epoch 1/2... Discriminator Loss: 1.2466... Generator Loss: 0.7122
Epoch 1/2... Discriminator Loss: 1.3000... Generator Loss: 0.6731
Epoch 1/2... Discriminator Loss: 1.4139... Generator Loss: 0.5519
Epoch 1/2... Discriminator Loss: 1.2569... Generator Loss: 0.6844
Epoch 1/2... Discriminator Loss: 1.4523... Generator Loss: 0.5550
Epoch 1/2... Discriminator Loss: 1.2879... Generator Loss: 0.7516
Epoch 1/2... Discriminator Loss: 1.2324... Generator Loss: 0.7569
Epoch 1/2... Discriminator Loss: 1.1665... Generator Loss: 0.7555
Epoch 1/2... Discriminator Loss: 1.3768... Generator Loss: 0.5797
Epoch 1/2... Discriminator Loss: 1.2548... Generator Loss: 0.6532
Epoch 1/2... Discriminator Loss: 1.2708... Generator Loss: 1.0219
Epoch 1/2... Discriminator Loss: 1.2490... Generator Loss: 1.4598
Epoch 1/2... Discriminator Loss: 1.2025... Generator Loss: 0.9703
Epoch 1/2... Discriminator Loss: 1.2352... Generator Loss: 1.1155
Epoch 1/2... Discriminator Loss: 1.3080... Generator Loss: 0.6673
Epoch 1/2... Discriminator Loss: 1.3743... Generator Loss: 0.5740
Epoch 1/2... Discriminator Loss: 1.2319... Generator Loss: 0.7918
Epoch 1/2... Discriminator Loss: 1.2729... Generator Loss: 0.7745
Epoch 1/2... Discriminator Loss: 1.3267... Generator Loss: 0.5864
Epoch 1/2... Discriminator Loss: 1.2627... Generator Loss: 0.7564
Epoch 1/2... Discriminator Loss: 1.3170... Generator Loss: 0.6446
Epoch 1/2... Discriminator Loss: 1.4588... Generator Loss: 1.6643
Epoch 1/2... Discriminator Loss: 1.2541... Generator Loss: 1.3284
Epoch 1/2... Discriminator Loss: 1.1827... Generator Loss: 1.1479
Epoch 1/2... Discriminator Loss: 1.2682... Generator Loss: 1.2910
Epoch 1/2... Discriminator Loss: 1.2624... Generator Loss: 1.2709
Epoch 1/2... Discriminator Loss: 1.1727... Generator Loss: 0.9436
Epoch 1/2... Discriminator Loss: 1.4377... Generator Loss: 1.4575
Epoch 2/2... Discriminator Loss: 1.2965... Generator Loss: 1.1490
Epoch 2/2... Discriminator Loss: 1.1812... Generator Loss: 0.8294
Epoch 2/2... Discriminator Loss: 1.2928... Generator Loss: 0.7609
Epoch 2/2... Discriminator Loss: 1.2624... Generator Loss: 1.3596
Epoch 2/2... Discriminator Loss: 1.2109... Generator Loss: 1.1996
Epoch 2/2... Discriminator Loss: 1.2265... Generator Loss: 1.3125
Epoch 2/2... Discriminator Loss: 1.3164... Generator Loss: 0.6776
Epoch 2/2... Discriminator Loss: 1.1725... Generator Loss: 0.7738
Epoch 2/2... Discriminator Loss: 1.2599... Generator Loss: 1.3049
Epoch 2/2... Discriminator Loss: 1.2609... Generator Loss: 1.1971
Epoch 2/2... Discriminator Loss: 1.2327... Generator Loss: 1.0375
Epoch 2/2... Discriminator Loss: 1.1969... Generator Loss: 0.8759
Epoch 2/2... Discriminator Loss: 1.5707... Generator Loss: 0.4888
Epoch 2/2... Discriminator Loss: 1.2509... Generator Loss: 0.7997
Epoch 2/2... Discriminator Loss: 1.2981... Generator Loss: 0.6283
Epoch 2/2... Discriminator Loss: 1.2363... Generator Loss: 0.8340
Epoch 2/2... Discriminator Loss: 1.1996... Generator Loss: 0.8998
Epoch 2/2... Discriminator Loss: 1.1629... Generator Loss: 0.8018
Epoch 2/2... Discriminator Loss: 1.1857... Generator Loss: 1.2986
Epoch 2/2... Discriminator Loss: 1.3759... Generator Loss: 1.6724
Epoch 2/2... Discriminator Loss: 1.1104... Generator Loss: 1.3177
Epoch 2/2... Discriminator Loss: 1.1633... Generator Loss: 1.4445
Epoch 2/2... Discriminator Loss: 1.1464... Generator Loss: 1.3457
Epoch 2/2... Discriminator Loss: 1.2133... Generator Loss: 0.9997
Epoch 2/2... Discriminator Loss: 1.3839... Generator Loss: 1.5359
Epoch 2/2... Discriminator Loss: 1.1590... Generator Loss: 0.8833
Epoch 2/2... Discriminator Loss: 1.4410... Generator Loss: 0.5226
Epoch 2/2... Discriminator Loss: 1.3990... Generator Loss: 0.4595
Epoch 2/2... Discriminator Loss: 1.2181... Generator Loss: 0.7476
Epoch 2/2... Discriminator Loss: 1.3146... Generator Loss: 0.6123
Epoch 2/2... Discriminator Loss: 1.3180... Generator Loss: 0.6716
Epoch 2/2... Discriminator Loss: 1.1195... Generator Loss: 0.8496
Epoch 2/2... Discriminator Loss: 1.2938... Generator Loss: 0.6898
Epoch 2/2... Discriminator Loss: 1.2372... Generator Loss: 0.6741
Epoch 2/2... Discriminator Loss: 1.3520... Generator Loss: 0.6179
Epoch 2/2... Discriminator Loss: 1.2687... Generator Loss: 0.6955
Epoch 2/2... Discriminator Loss: 1.1144... Generator Loss: 1.0105
Epoch 2/2... Discriminator Loss: 1.1718... Generator Loss: 1.4662
Epoch 2/2... Discriminator Loss: 1.0998... Generator Loss: 1.2962
Epoch 2/2... Discriminator Loss: 1.5484... Generator Loss: 0.4654
Epoch 2/2... Discriminator Loss: 1.1496... Generator Loss: 0.8096
Epoch 2/2... Discriminator Loss: 1.1480... Generator Loss: 0.7804
Epoch 2/2... Discriminator Loss: 1.7154... Generator Loss: 0.3702
Epoch 2/2... Discriminator Loss: 1.0608... Generator Loss: 1.3162
Epoch 2/2... Discriminator Loss: 1.0818... Generator Loss: 1.5062
Epoch 2/2... Discriminator Loss: 1.1311... Generator Loss: 1.1976
Epoch 2/2... Discriminator Loss: 1.2895... Generator Loss: 1.3661
Epoch 2/2... Discriminator Loss: 1.2661... Generator Loss: 1.7575
Epoch 2/2... Discriminator Loss: 1.2246... Generator Loss: 1.3450
Epoch 2/2... Discriminator Loss: 1.0296... Generator Loss: 1.0675
Epoch 2/2... Discriminator Loss: 1.1142... Generator Loss: 1.6181
Epoch 2/2... Discriminator Loss: 1.1210... Generator Loss: 1.4649
Epoch 2/2... Discriminator Loss: 1.0089... Generator Loss: 1.7409
Epoch 2/2... Discriminator Loss: 1.0988... Generator Loss: 1.3884
Epoch 2/2... Discriminator Loss: 1.0684... Generator Loss: 1.4177
Epoch 2/2... Discriminator Loss: 1.1860... Generator Loss: 1.5689
Epoch 2/2... Discriminator Loss: 1.2677... Generator Loss: 1.6842
Epoch 2/2... Discriminator Loss: 1.1476... Generator Loss: 1.5945
Epoch 2/2... Discriminator Loss: 0.9975... Generator Loss: 1.0370
Epoch 2/2... Discriminator Loss: 1.0715... Generator Loss: 1.6307
Epoch 2/2... Discriminator Loss: 1.1072... Generator Loss: 1.2057
Epoch 2/2... Discriminator Loss: 1.1712... Generator Loss: 0.6630
Epoch 2/2... Discriminator Loss: 1.1662... Generator Loss: 0.6719
Epoch 2/2... Discriminator Loss: 1.0551... Generator Loss: 1.0243
Epoch 2/2... Discriminator Loss: 1.1702... Generator Loss: 1.8792
Epoch 2/2... Discriminator Loss: 1.0499... Generator Loss: 1.8365
Epoch 2/2... Discriminator Loss: 0.9781... Generator Loss: 1.3915
Epoch 2/2... Discriminator Loss: 1.0090... Generator Loss: 1.6042
Epoch 2/2... Discriminator Loss: 1.3295... Generator Loss: 1.5298
Epoch 2/2... Discriminator Loss: 1.0077... Generator Loss: 0.9461
Epoch 2/2... Discriminator Loss: 1.2824... Generator Loss: 0.5165
Epoch 2/2... Discriminator Loss: 1.0047... Generator Loss: 0.9625
Epoch 2/2... Discriminator Loss: 1.2482... Generator Loss: 1.6399
Epoch 2/2... Discriminator Loss: 1.1105... Generator Loss: 1.0436
Epoch 2/2... Discriminator Loss: 1.3006... Generator Loss: 0.6077
Epoch 2/2... Discriminator Loss: 1.3625... Generator Loss: 0.4753
Epoch 2/2... Discriminator Loss: 1.0586... Generator Loss: 0.9384
Epoch 2/2... Discriminator Loss: 1.1250... Generator Loss: 0.7778
Epoch 2/2... Discriminator Loss: 1.8714... Generator Loss: 0.3009
Epoch 2/2... Discriminator Loss: 1.0012... Generator Loss: 0.9680
Epoch 2/2... Discriminator Loss: 1.2377... Generator Loss: 0.7490
Epoch 2/2... Discriminator Loss: 1.3032... Generator Loss: 0.6762
Epoch 2/2... Discriminator Loss: 1.1273... Generator Loss: 1.4408
Epoch 2/2... Discriminator Loss: 1.4656... Generator Loss: 2.2457
Epoch 2/2... Discriminator Loss: 1.0869... Generator Loss: 0.9614
Epoch 2/2... Discriminator Loss: 0.9758... Generator Loss: 1.2844
Epoch 2/2... Discriminator Loss: 2.9474... Generator Loss: 4.3101
Epoch 2/2... Discriminator Loss: 1.0803... Generator Loss: 1.2617
Epoch 2/2... Discriminator Loss: 1.0442... Generator Loss: 1.1771
Epoch 2/2... Discriminator Loss: 1.0164... Generator Loss: 1.2444
Epoch 2/2... Discriminator Loss: 1.1277... Generator Loss: 2.0601
Epoch 2/2... Discriminator Loss: 1.0439... Generator Loss: 1.0328
Epoch 2/2... Discriminator Loss: 1.1314... Generator Loss: 0.5887
Epoch 2/2... Discriminator Loss: 1.2147... Generator Loss: 0.7049

CelebA

Run your GANs on CelebA. It will take around 20 minutes on the average GPU to run one epoch. You can run the whole epoch or stop when it starts to generate realistic faces.

In [32]:
batch_size = 16
z_dim = 100
learning_rate = 0.0004
beta1 = 0.3


"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
epochs = 1

celeba_dataset = helper.Dataset('celeba', glob(os.path.join(data_dir, 'img_align_celeba/*.jpg')))
with tf.Graph().as_default():
    train(epochs, batch_size, z_dim, learning_rate, beta1, celeba_dataset.get_batches,
          celeba_dataset.shape, celeba_dataset.image_mode)
Epoch 1/1... Discriminator Loss: 1.1129... Generator Loss: 3.1219
Epoch 1/1... Discriminator Loss: 2.9806... Generator Loss: 0.1709
Epoch 1/1... Discriminator Loss: 0.8614... Generator Loss: 5.7837
Epoch 1/1... Discriminator Loss: 3.6778... Generator Loss: 0.1249
Epoch 1/1... Discriminator Loss: 1.1929... Generator Loss: 1.0158
Epoch 1/1... Discriminator Loss: 1.0422... Generator Loss: 1.2516
Epoch 1/1... Discriminator Loss: 1.2909... Generator Loss: 0.9475
Epoch 1/1... Discriminator Loss: 0.5978... Generator Loss: 2.2396
Epoch 1/1... Discriminator Loss: 0.6198... Generator Loss: 1.9900
Epoch 1/1... Discriminator Loss: 0.5044... Generator Loss: 2.6149
Epoch 1/1... Discriminator Loss: 0.6728... Generator Loss: 2.9385
Epoch 1/1... Discriminator Loss: 0.7680... Generator Loss: 1.4069
Epoch 1/1... Discriminator Loss: 0.8151... Generator Loss: 1.4078
Epoch 1/1... Discriminator Loss: 1.0617... Generator Loss: 1.6138
Epoch 1/1... Discriminator Loss: 0.8808... Generator Loss: 1.4629
Epoch 1/1... Discriminator Loss: 1.3486... Generator Loss: 0.8254
Epoch 1/1... Discriminator Loss: 1.0987... Generator Loss: 2.0318
Epoch 1/1... Discriminator Loss: 0.7103... Generator Loss: 2.0011
Epoch 1/1... Discriminator Loss: 1.0031... Generator Loss: 1.7465
Epoch 1/1... Discriminator Loss: 1.1410... Generator Loss: 1.3185
Epoch 1/1... Discriminator Loss: 0.8988... Generator Loss: 1.3436
Epoch 1/1... Discriminator Loss: 0.7092... Generator Loss: 2.0389
Epoch 1/1... Discriminator Loss: 0.7620... Generator Loss: 1.5753
Epoch 1/1... Discriminator Loss: 0.7233... Generator Loss: 1.3194
Epoch 1/1... Discriminator Loss: 0.6073... Generator Loss: 1.9398
Epoch 1/1... Discriminator Loss: 1.2914... Generator Loss: 0.8330
Epoch 1/1... Discriminator Loss: 1.0509... Generator Loss: 1.8261
Epoch 1/1... Discriminator Loss: 0.8026... Generator Loss: 1.7521
Epoch 1/1... Discriminator Loss: 0.8007... Generator Loss: 2.1393
Epoch 1/1... Discriminator Loss: 1.0422... Generator Loss: 1.0300
Epoch 1/1... Discriminator Loss: 1.0684... Generator Loss: 3.1829
Epoch 1/1... Discriminator Loss: 1.4558... Generator Loss: 0.5441
Epoch 1/1... Discriminator Loss: 1.1993... Generator Loss: 1.0843
Epoch 1/1... Discriminator Loss: 1.0737... Generator Loss: 1.6552
Epoch 1/1... Discriminator Loss: 1.0911... Generator Loss: 1.2325
Epoch 1/1... Discriminator Loss: 0.9579... Generator Loss: 1.2065
Epoch 1/1... Discriminator Loss: 0.8545... Generator Loss: 1.4630
Epoch 1/1... Discriminator Loss: 0.9257... Generator Loss: 1.6415
Epoch 1/1... Discriminator Loss: 0.9241... Generator Loss: 1.4272
Epoch 1/1... Discriminator Loss: 1.2363... Generator Loss: 1.8011
Epoch 1/1... Discriminator Loss: 1.0813... Generator Loss: 1.5944
Epoch 1/1... Discriminator Loss: 1.3085... Generator Loss: 1.1771
Epoch 1/1... Discriminator Loss: 1.4098... Generator Loss: 0.5732
Epoch 1/1... Discriminator Loss: 1.5444... Generator Loss: 0.4496
Epoch 1/1... Discriminator Loss: 1.1064... Generator Loss: 1.1100
Epoch 1/1... Discriminator Loss: 1.7277... Generator Loss: 0.3585
Epoch 1/1... Discriminator Loss: 1.3541... Generator Loss: 1.2393
Epoch 1/1... Discriminator Loss: 1.2551... Generator Loss: 0.8321
Epoch 1/1... Discriminator Loss: 1.1705... Generator Loss: 0.9126
Epoch 1/1... Discriminator Loss: 0.9826... Generator Loss: 1.4801
Epoch 1/1... Discriminator Loss: 1.4276... Generator Loss: 0.5715
Epoch 1/1... Discriminator Loss: 1.4402... Generator Loss: 1.9637
Epoch 1/1... Discriminator Loss: 1.1907... Generator Loss: 1.1731
Epoch 1/1... Discriminator Loss: 0.9836... Generator Loss: 0.9306
Epoch 1/1... Discriminator Loss: 0.8957... Generator Loss: 0.9657
Epoch 1/1... Discriminator Loss: 1.2591... Generator Loss: 0.7275
Epoch 1/1... Discriminator Loss: 1.1171... Generator Loss: 0.7631
Epoch 1/1... Discriminator Loss: 1.1620... Generator Loss: 1.3300
Epoch 1/1... Discriminator Loss: 1.0626... Generator Loss: 1.6109
Epoch 1/1... Discriminator Loss: 1.5992... Generator Loss: 0.4052
Epoch 1/1... Discriminator Loss: 1.3523... Generator Loss: 0.9967
Epoch 1/1... Discriminator Loss: 1.3783... Generator Loss: 1.1913
Epoch 1/1... Discriminator Loss: 1.4668... Generator Loss: 0.7611
Epoch 1/1... Discriminator Loss: 1.2526... Generator Loss: 0.9054
Epoch 1/1... Discriminator Loss: 1.0077... Generator Loss: 1.1096
Epoch 1/1... Discriminator Loss: 1.0631... Generator Loss: 0.7410
Epoch 1/1... Discriminator Loss: 1.2239... Generator Loss: 0.8826
Epoch 1/1... Discriminator Loss: 1.3139... Generator Loss: 1.5318
Epoch 1/1... Discriminator Loss: 1.0614... Generator Loss: 1.0290
Epoch 1/1... Discriminator Loss: 2.6652... Generator Loss: 3.9826
Epoch 1/1... Discriminator Loss: 1.2289... Generator Loss: 1.0214
Epoch 1/1... Discriminator Loss: 1.2902... Generator Loss: 0.9269
Epoch 1/1... Discriminator Loss: 1.0255... Generator Loss: 1.5167
Epoch 1/1... Discriminator Loss: 0.9939... Generator Loss: 1.0961
Epoch 1/1... Discriminator Loss: 1.1227... Generator Loss: 1.0313
Epoch 1/1... Discriminator Loss: 1.2550... Generator Loss: 1.4854
Epoch 1/1... Discriminator Loss: 1.1630... Generator Loss: 1.0591
Epoch 1/1... Discriminator Loss: 1.0772... Generator Loss: 0.9728
Epoch 1/1... Discriminator Loss: 1.2783... Generator Loss: 1.3705
Epoch 1/1... Discriminator Loss: 1.4368... Generator Loss: 0.6055
Epoch 1/1... Discriminator Loss: 1.3075... Generator Loss: 0.9207
Epoch 1/1... Discriminator Loss: 1.3015... Generator Loss: 1.5808
Epoch 1/1... Discriminator Loss: 1.7977... Generator Loss: 0.6147
Epoch 1/1... Discriminator Loss: 1.3421... Generator Loss: 0.7182
Epoch 1/1... Discriminator Loss: 1.3366... Generator Loss: 0.9763
Epoch 1/1... Discriminator Loss: 1.3277... Generator Loss: 0.6148
Epoch 1/1... Discriminator Loss: 1.2126... Generator Loss: 1.0049
Epoch 1/1... Discriminator Loss: 1.2562... Generator Loss: 0.8061
Epoch 1/1... Discriminator Loss: 1.2419... Generator Loss: 0.8902
Epoch 1/1... Discriminator Loss: 1.0022... Generator Loss: 1.1938
Epoch 1/1... Discriminator Loss: 1.1234... Generator Loss: 0.8575
Epoch 1/1... Discriminator Loss: 1.1807... Generator Loss: 0.9429
Epoch 1/1... Discriminator Loss: 1.2100... Generator Loss: 1.1436
Epoch 1/1... Discriminator Loss: 1.2223... Generator Loss: 0.9565
Epoch 1/1... Discriminator Loss: 1.2482... Generator Loss: 1.0466
Epoch 1/1... Discriminator Loss: 1.0568... Generator Loss: 1.2358
Epoch 1/1... Discriminator Loss: 1.5781... Generator Loss: 0.5934
Epoch 1/1... Discriminator Loss: 1.3568... Generator Loss: 1.0000
Epoch 1/1... Discriminator Loss: 1.3863... Generator Loss: 1.0246
Epoch 1/1... Discriminator Loss: 1.2447... Generator Loss: 1.5590
Epoch 1/1... Discriminator Loss: 1.3311... Generator Loss: 1.4682
Epoch 1/1... Discriminator Loss: 1.2481... Generator Loss: 0.8713
Epoch 1/1... Discriminator Loss: 1.2660... Generator Loss: 0.9669
Epoch 1/1... Discriminator Loss: 1.1100... Generator Loss: 0.8324
Epoch 1/1... Discriminator Loss: 1.1297... Generator Loss: 0.6203
Epoch 1/1... Discriminator Loss: 1.3113... Generator Loss: 1.0782
Epoch 1/1... Discriminator Loss: 1.1684... Generator Loss: 0.9030
Epoch 1/1... Discriminator Loss: 1.3376... Generator Loss: 1.0435
Epoch 1/1... Discriminator Loss: 1.2467... Generator Loss: 0.8145
Epoch 1/1... Discriminator Loss: 1.1217... Generator Loss: 1.1596
Epoch 1/1... Discriminator Loss: 1.4713... Generator Loss: 0.5692
Epoch 1/1... Discriminator Loss: 1.0666... Generator Loss: 1.0956
Epoch 1/1... Discriminator Loss: 1.5464... Generator Loss: 0.7768
Epoch 1/1... Discriminator Loss: 1.4204... Generator Loss: 1.0132
Epoch 1/1... Discriminator Loss: 1.0397... Generator Loss: 1.0531
Epoch 1/1... Discriminator Loss: 1.2535... Generator Loss: 0.5611
Epoch 1/1... Discriminator Loss: 1.5291... Generator Loss: 0.4877
Epoch 1/1... Discriminator Loss: 1.3511... Generator Loss: 0.7931
Epoch 1/1... Discriminator Loss: 1.2949... Generator Loss: 0.6287
Epoch 1/1... Discriminator Loss: 1.2061... Generator Loss: 0.6098
Epoch 1/1... Discriminator Loss: 1.1552... Generator Loss: 0.7232
Epoch 1/1... Discriminator Loss: 1.3265... Generator Loss: 0.9374
Epoch 1/1... Discriminator Loss: 1.3637... Generator Loss: 0.6195
Epoch 1/1... Discriminator Loss: 1.2631... Generator Loss: 0.7781
Epoch 1/1... Discriminator Loss: 1.5499... Generator Loss: 1.0281
Epoch 1/1... Discriminator Loss: 1.4115... Generator Loss: 0.5728
Epoch 1/1... Discriminator Loss: 1.3623... Generator Loss: 0.8971
Epoch 1/1... Discriminator Loss: 1.1332... Generator Loss: 0.8438
Epoch 1/1... Discriminator Loss: 1.1863... Generator Loss: 0.9406
Epoch 1/1... Discriminator Loss: 1.3092... Generator Loss: 0.9627
Epoch 1/1... Discriminator Loss: 1.2182... Generator Loss: 1.2317
Epoch 1/1... Discriminator Loss: 1.1606... Generator Loss: 1.1248
Epoch 1/1... Discriminator Loss: 1.4532... Generator Loss: 0.7017
Epoch 1/1... Discriminator Loss: 1.0710... Generator Loss: 0.7602
Epoch 1/1... Discriminator Loss: 1.2126... Generator Loss: 0.9457
Epoch 1/1... Discriminator Loss: 1.2148... Generator Loss: 0.8852
Epoch 1/1... Discriminator Loss: 1.3554... Generator Loss: 0.7963
Epoch 1/1... Discriminator Loss: 1.2987... Generator Loss: 0.9782
Epoch 1/1... Discriminator Loss: 1.4083... Generator Loss: 0.6205
Epoch 1/1... Discriminator Loss: 1.4046... Generator Loss: 0.6420
Epoch 1/1... Discriminator Loss: 1.2802... Generator Loss: 0.9491
Epoch 1/1... Discriminator Loss: 1.2546... Generator Loss: 0.9455
Epoch 1/1... Discriminator Loss: 1.2719... Generator Loss: 0.8749
Epoch 1/1... Discriminator Loss: 1.3518... Generator Loss: 0.7954
Epoch 1/1... Discriminator Loss: 1.2097... Generator Loss: 1.0508
Epoch 1/1... Discriminator Loss: 1.1950... Generator Loss: 0.8609
Epoch 1/1... Discriminator Loss: 1.4923... Generator Loss: 0.6159
Epoch 1/1... Discriminator Loss: 1.4804... Generator Loss: 0.8919
Epoch 1/1... Discriminator Loss: 1.5477... Generator Loss: 0.6768
Epoch 1/1... Discriminator Loss: 1.1457... Generator Loss: 1.1344
Epoch 1/1... Discriminator Loss: 1.1604... Generator Loss: 0.8487
Epoch 1/1... Discriminator Loss: 1.0868... Generator Loss: 0.9796
Epoch 1/1... Discriminator Loss: 1.3467... Generator Loss: 0.8769
Epoch 1/1... Discriminator Loss: 1.2335... Generator Loss: 1.0363
Epoch 1/1... Discriminator Loss: 1.1443... Generator Loss: 0.7037
Epoch 1/1... Discriminator Loss: 1.3025... Generator Loss: 0.8086
Epoch 1/1... Discriminator Loss: 1.2936... Generator Loss: 0.9189
Epoch 1/1... Discriminator Loss: 1.2439... Generator Loss: 0.7722
Epoch 1/1... Discriminator Loss: 1.3767... Generator Loss: 0.7467
Epoch 1/1... Discriminator Loss: 1.2893... Generator Loss: 0.8237
Epoch 1/1... Discriminator Loss: 1.3299... Generator Loss: 0.8996
Epoch 1/1... Discriminator Loss: 1.1823... Generator Loss: 0.9914
Epoch 1/1... Discriminator Loss: 1.2487... Generator Loss: 0.8759
Epoch 1/1... Discriminator Loss: 1.3597... Generator Loss: 0.7624
Epoch 1/1... Discriminator Loss: 1.1672... Generator Loss: 0.8362
Epoch 1/1... Discriminator Loss: 1.3649... Generator Loss: 0.8375
Epoch 1/1... Discriminator Loss: 1.1255... Generator Loss: 0.8129
Epoch 1/1... Discriminator Loss: 1.2585... Generator Loss: 0.9272
Epoch 1/1... Discriminator Loss: 1.3152... Generator Loss: 0.6075
Epoch 1/1... Discriminator Loss: 1.2361... Generator Loss: 0.7952
Epoch 1/1... Discriminator Loss: 1.2483... Generator Loss: 0.9706
Epoch 1/1... Discriminator Loss: 1.3337... Generator Loss: 0.9000
Epoch 1/1... Discriminator Loss: 1.5658... Generator Loss: 0.6396
Epoch 1/1... Discriminator Loss: 1.3560... Generator Loss: 0.6092
Epoch 1/1... Discriminator Loss: 1.1714... Generator Loss: 1.2121
Epoch 1/1... Discriminator Loss: 1.1962... Generator Loss: 0.7686
Epoch 1/1... Discriminator Loss: 1.3320... Generator Loss: 0.8185
Epoch 1/1... Discriminator Loss: 0.9876... Generator Loss: 1.0121
Epoch 1/1... Discriminator Loss: 1.4943... Generator Loss: 0.6749
Epoch 1/1... Discriminator Loss: 1.4220... Generator Loss: 0.7353
Epoch 1/1... Discriminator Loss: 1.3481... Generator Loss: 0.8222
Epoch 1/1... Discriminator Loss: 1.1623... Generator Loss: 0.6554
Epoch 1/1... Discriminator Loss: 1.1781... Generator Loss: 0.9326
Epoch 1/1... Discriminator Loss: 1.3490... Generator Loss: 0.8500
Epoch 1/1... Discriminator Loss: 1.1583... Generator Loss: 0.9316
Epoch 1/1... Discriminator Loss: 1.3603... Generator Loss: 0.5760
Epoch 1/1... Discriminator Loss: 1.2327... Generator Loss: 0.8634
Epoch 1/1... Discriminator Loss: 1.2732... Generator Loss: 0.8233
Epoch 1/1... Discriminator Loss: 1.2984... Generator Loss: 0.8252
Epoch 1/1... Discriminator Loss: 1.5006... Generator Loss: 0.9978
Epoch 1/1... Discriminator Loss: 1.1028... Generator Loss: 0.7502
Epoch 1/1... Discriminator Loss: 1.1981... Generator Loss: 0.9891
Epoch 1/1... Discriminator Loss: 1.4631... Generator Loss: 1.0332
Epoch 1/1... Discriminator Loss: 1.3246... Generator Loss: 0.6774
Epoch 1/1... Discriminator Loss: 1.1827... Generator Loss: 0.7724
Epoch 1/1... Discriminator Loss: 1.2957... Generator Loss: 1.0071
Epoch 1/1... Discriminator Loss: 1.3623... Generator Loss: 1.3360
Epoch 1/1... Discriminator Loss: 1.0742... Generator Loss: 1.0691
Epoch 1/1... Discriminator Loss: 1.2554... Generator Loss: 0.7201
Epoch 1/1... Discriminator Loss: 1.2175... Generator Loss: 0.8199
Epoch 1/1... Discriminator Loss: 1.3070... Generator Loss: 0.8035
Epoch 1/1... Discriminator Loss: 1.3940... Generator Loss: 1.0666
Epoch 1/1... Discriminator Loss: 1.3351... Generator Loss: 0.6382
Epoch 1/1... Discriminator Loss: 1.0921... Generator Loss: 0.8018
Epoch 1/1... Discriminator Loss: 1.3114... Generator Loss: 0.6641
Epoch 1/1... Discriminator Loss: 1.2844... Generator Loss: 0.6274
Epoch 1/1... Discriminator Loss: 1.3749... Generator Loss: 0.6790
Epoch 1/1... Discriminator Loss: 1.3890... Generator Loss: 0.8813
Epoch 1/1... Discriminator Loss: 1.3281... Generator Loss: 0.8934
Epoch 1/1... Discriminator Loss: 1.1872... Generator Loss: 0.8821
Epoch 1/1... Discriminator Loss: 1.6120... Generator Loss: 0.4589
Epoch 1/1... Discriminator Loss: 1.3355... Generator Loss: 1.0697
Epoch 1/1... Discriminator Loss: 1.2618... Generator Loss: 0.9550
Epoch 1/1... Discriminator Loss: 1.2856... Generator Loss: 1.1304
Epoch 1/1... Discriminator Loss: 1.1885... Generator Loss: 0.8128
Epoch 1/1... Discriminator Loss: 1.2515... Generator Loss: 0.9774
Epoch 1/1... Discriminator Loss: 1.1633... Generator Loss: 1.1419
Epoch 1/1... Discriminator Loss: 1.2893... Generator Loss: 0.8746
Epoch 1/1... Discriminator Loss: 1.3987... Generator Loss: 0.9341
Epoch 1/1... Discriminator Loss: 1.1822... Generator Loss: 0.6500
Epoch 1/1... Discriminator Loss: 1.2326... Generator Loss: 1.2065
Epoch 1/1... Discriminator Loss: 1.2156... Generator Loss: 0.8481
Epoch 1/1... Discriminator Loss: 1.4051... Generator Loss: 0.6150
Epoch 1/1... Discriminator Loss: 1.3209... Generator Loss: 0.6941
Epoch 1/1... Discriminator Loss: 1.2521... Generator Loss: 1.1045
Epoch 1/1... Discriminator Loss: 1.3150... Generator Loss: 0.6648
Epoch 1/1... Discriminator Loss: 1.3178... Generator Loss: 0.6687
Epoch 1/1... Discriminator Loss: 1.4667... Generator Loss: 0.7218
Epoch 1/1... Discriminator Loss: 1.2339... Generator Loss: 0.7396
Epoch 1/1... Discriminator Loss: 1.2404... Generator Loss: 0.9421
Epoch 1/1... Discriminator Loss: 1.3744... Generator Loss: 0.8294
Epoch 1/1... Discriminator Loss: 1.2682... Generator Loss: 0.8138
Epoch 1/1... Discriminator Loss: 1.3933... Generator Loss: 0.9771
Epoch 1/1... Discriminator Loss: 1.4407... Generator Loss: 0.9307
Epoch 1/1... Discriminator Loss: 1.3310... Generator Loss: 0.8383
Epoch 1/1... Discriminator Loss: 1.1705... Generator Loss: 0.9855
Epoch 1/1... Discriminator Loss: 1.1000... Generator Loss: 0.8052
Epoch 1/1... Discriminator Loss: 1.3822... Generator Loss: 1.0855
Epoch 1/1... Discriminator Loss: 1.2474... Generator Loss: 1.1327
Epoch 1/1... Discriminator Loss: 1.2008... Generator Loss: 0.8391
Epoch 1/1... Discriminator Loss: 1.3509... Generator Loss: 0.8234
Epoch 1/1... Discriminator Loss: 1.3022... Generator Loss: 1.0919
Epoch 1/1... Discriminator Loss: 1.4556... Generator Loss: 0.5058
Epoch 1/1... Discriminator Loss: 1.1115... Generator Loss: 0.9793
Epoch 1/1... Discriminator Loss: 1.3058... Generator Loss: 0.6501
Epoch 1/1... Discriminator Loss: 1.1082... Generator Loss: 0.9056
Epoch 1/1... Discriminator Loss: 1.3784... Generator Loss: 0.7048
Epoch 1/1... Discriminator Loss: 1.4568... Generator Loss: 0.6325
Epoch 1/1... Discriminator Loss: 1.3565... Generator Loss: 0.6460
Epoch 1/1... Discriminator Loss: 1.0963... Generator Loss: 1.1577
Epoch 1/1... Discriminator Loss: 1.4468... Generator Loss: 0.8256
Epoch 1/1... Discriminator Loss: 1.1359... Generator Loss: 0.6857
Epoch 1/1... Discriminator Loss: 1.1744... Generator Loss: 0.9101
Epoch 1/1... Discriminator Loss: 1.2705... Generator Loss: 0.9938
Epoch 1/1... Discriminator Loss: 1.1895... Generator Loss: 1.0295
Epoch 1/1... Discriminator Loss: 1.2085... Generator Loss: 0.9720
Epoch 1/1... Discriminator Loss: 1.2626... Generator Loss: 0.7752
Epoch 1/1... Discriminator Loss: 1.1378... Generator Loss: 0.8861
Epoch 1/1... Discriminator Loss: 1.2289... Generator Loss: 1.0391
Epoch 1/1... Discriminator Loss: 1.1585... Generator Loss: 0.9502
Epoch 1/1... Discriminator Loss: 1.3575... Generator Loss: 0.4799
Epoch 1/1... Discriminator Loss: 1.1809... Generator Loss: 1.0305
Epoch 1/1... Discriminator Loss: 1.2457... Generator Loss: 0.8924
Epoch 1/1... Discriminator Loss: 1.0148... Generator Loss: 0.9481
Epoch 1/1... Discriminator Loss: 1.0821... Generator Loss: 0.8678
Epoch 1/1... Discriminator Loss: 1.3022... Generator Loss: 1.1242
Epoch 1/1... Discriminator Loss: 1.1995... Generator Loss: 1.3445
Epoch 1/1... Discriminator Loss: 1.1229... Generator Loss: 0.9035
Epoch 1/1... Discriminator Loss: 1.3584... Generator Loss: 0.6021
Epoch 1/1... Discriminator Loss: 1.3522... Generator Loss: 0.8837
Epoch 1/1... Discriminator Loss: 1.4986... Generator Loss: 0.6676
Epoch 1/1... Discriminator Loss: 1.2380... Generator Loss: 0.7209
Epoch 1/1... Discriminator Loss: 1.2036... Generator Loss: 0.7642
Epoch 1/1... Discriminator Loss: 1.3143... Generator Loss: 0.8449
Epoch 1/1... Discriminator Loss: 1.2321... Generator Loss: 0.6008
Epoch 1/1... Discriminator Loss: 1.1387... Generator Loss: 0.9310
Epoch 1/1... Discriminator Loss: 1.3110... Generator Loss: 0.9596
Epoch 1/1... Discriminator Loss: 1.0653... Generator Loss: 1.1236
Epoch 1/1... Discriminator Loss: 1.5836... Generator Loss: 0.8715
Epoch 1/1... Discriminator Loss: 1.1701... Generator Loss: 0.9458
Epoch 1/1... Discriminator Loss: 1.3199... Generator Loss: 0.7043
Epoch 1/1... Discriminator Loss: 1.2493... Generator Loss: 1.2555
Epoch 1/1... Discriminator Loss: 1.4706... Generator Loss: 0.5904
Epoch 1/1... Discriminator Loss: 1.5366... Generator Loss: 1.3102
Epoch 1/1... Discriminator Loss: 1.1586... Generator Loss: 1.1876
Epoch 1/1... Discriminator Loss: 1.5588... Generator Loss: 0.5270
Epoch 1/1... Discriminator Loss: 1.1013... Generator Loss: 1.2081
Epoch 1/1... Discriminator Loss: 1.2928... Generator Loss: 0.7608
Epoch 1/1... Discriminator Loss: 1.3163... Generator Loss: 1.1441
Epoch 1/1... Discriminator Loss: 1.4145... Generator Loss: 0.7470
Epoch 1/1... Discriminator Loss: 1.2265... Generator Loss: 0.8318
Epoch 1/1... Discriminator Loss: 1.2594... Generator Loss: 0.7823
Epoch 1/1... Discriminator Loss: 1.4458... Generator Loss: 1.4316
Epoch 1/1... Discriminator Loss: 1.2975... Generator Loss: 0.6875
Epoch 1/1... Discriminator Loss: 1.3130... Generator Loss: 0.9253
Epoch 1/1... Discriminator Loss: 1.2009... Generator Loss: 0.9436
Epoch 1/1... Discriminator Loss: 1.2355... Generator Loss: 1.0932
Epoch 1/1... Discriminator Loss: 1.3972... Generator Loss: 0.7112
Epoch 1/1... Discriminator Loss: 1.2221... Generator Loss: 0.8299
Epoch 1/1... Discriminator Loss: 1.1553... Generator Loss: 0.9172
Epoch 1/1... Discriminator Loss: 1.1462... Generator Loss: 1.2545
Epoch 1/1... Discriminator Loss: 1.1959... Generator Loss: 0.8561
Epoch 1/1... Discriminator Loss: 1.2537... Generator Loss: 0.9592
Epoch 1/1... Discriminator Loss: 1.1861... Generator Loss: 0.8779
Epoch 1/1... Discriminator Loss: 1.2809... Generator Loss: 0.9879
Epoch 1/1... Discriminator Loss: 1.2390... Generator Loss: 0.9831
Epoch 1/1... Discriminator Loss: 1.1237... Generator Loss: 0.8341
Epoch 1/1... Discriminator Loss: 1.4712... Generator Loss: 1.0029
Epoch 1/1... Discriminator Loss: 1.1300... Generator Loss: 0.9109
Epoch 1/1... Discriminator Loss: 1.2688... Generator Loss: 1.0932
Epoch 1/1... Discriminator Loss: 1.1424... Generator Loss: 1.1553
Epoch 1/1... Discriminator Loss: 1.3941... Generator Loss: 0.5498
Epoch 1/1... Discriminator Loss: 1.2922... Generator Loss: 0.9399
Epoch 1/1... Discriminator Loss: 1.1815... Generator Loss: 0.8545
Epoch 1/1... Discriminator Loss: 1.2258... Generator Loss: 0.6318
Epoch 1/1... Discriminator Loss: 1.0434... Generator Loss: 1.3255
Epoch 1/1... Discriminator Loss: 1.1451... Generator Loss: 0.8867
Epoch 1/1... Discriminator Loss: 1.2647... Generator Loss: 0.7268
Epoch 1/1... Discriminator Loss: 1.3164... Generator Loss: 0.6975
Epoch 1/1... Discriminator Loss: 1.1412... Generator Loss: 0.8322
Epoch 1/1... Discriminator Loss: 1.2784... Generator Loss: 0.7553
Epoch 1/1... Discriminator Loss: 1.2267... Generator Loss: 1.0887
Epoch 1/1... Discriminator Loss: 1.1448... Generator Loss: 0.9411
Epoch 1/1... Discriminator Loss: 1.1484... Generator Loss: 1.0062
Epoch 1/1... Discriminator Loss: 1.1303... Generator Loss: 0.9969
Epoch 1/1... Discriminator Loss: 1.1568... Generator Loss: 1.0432
Epoch 1/1... Discriminator Loss: 1.2591... Generator Loss: 0.7129
Epoch 1/1... Discriminator Loss: 1.1319... Generator Loss: 1.1103
Epoch 1/1... Discriminator Loss: 1.1075... Generator Loss: 0.8520
Epoch 1/1... Discriminator Loss: 1.5480... Generator Loss: 0.4431
Epoch 1/1... Discriminator Loss: 1.2091... Generator Loss: 1.0342
Epoch 1/1... Discriminator Loss: 1.2248... Generator Loss: 0.7195
Epoch 1/1... Discriminator Loss: 1.3683... Generator Loss: 0.9574
Epoch 1/1... Discriminator Loss: 1.2205... Generator Loss: 0.9608
Epoch 1/1... Discriminator Loss: 1.2139... Generator Loss: 0.7247
Epoch 1/1... Discriminator Loss: 1.0519... Generator Loss: 1.0617
Epoch 1/1... Discriminator Loss: 1.4378... Generator Loss: 0.6672
Epoch 1/1... Discriminator Loss: 1.3419... Generator Loss: 0.7309
Epoch 1/1... Discriminator Loss: 1.3190... Generator Loss: 0.8952
Epoch 1/1... Discriminator Loss: 1.5163... Generator Loss: 1.2386
Epoch 1/1... Discriminator Loss: 1.4345... Generator Loss: 0.8769
Epoch 1/1... Discriminator Loss: 1.2143... Generator Loss: 0.7865
Epoch 1/1... Discriminator Loss: 1.3875... Generator Loss: 0.8873
Epoch 1/1... Discriminator Loss: 1.4240... Generator Loss: 0.6174
Epoch 1/1... Discriminator Loss: 1.1821... Generator Loss: 0.9275
Epoch 1/1... Discriminator Loss: 0.9922... Generator Loss: 1.1668
Epoch 1/1... Discriminator Loss: 1.4311... Generator Loss: 0.6364
Epoch 1/1... Discriminator Loss: 1.5136... Generator Loss: 0.7478
Epoch 1/1... Discriminator Loss: 1.3449... Generator Loss: 0.6775
Epoch 1/1... Discriminator Loss: 1.4176... Generator Loss: 0.6460
Epoch 1/1... Discriminator Loss: 1.2927... Generator Loss: 0.8995
Epoch 1/1... Discriminator Loss: 1.3875... Generator Loss: 0.8363
Epoch 1/1... Discriminator Loss: 1.1419... Generator Loss: 0.8739
Epoch 1/1... Discriminator Loss: 1.1906... Generator Loss: 1.0397
Epoch 1/1... Discriminator Loss: 1.3560... Generator Loss: 1.0073
Epoch 1/1... Discriminator Loss: 1.4125... Generator Loss: 0.7410
Epoch 1/1... Discriminator Loss: 1.4163... Generator Loss: 0.6867
Epoch 1/1... Discriminator Loss: 1.3363... Generator Loss: 0.8050
Epoch 1/1... Discriminator Loss: 1.2896... Generator Loss: 0.7336
Epoch 1/1... Discriminator Loss: 1.2636... Generator Loss: 1.0279
Epoch 1/1... Discriminator Loss: 1.3780... Generator Loss: 0.8027
Epoch 1/1... Discriminator Loss: 1.2258... Generator Loss: 0.9565
Epoch 1/1... Discriminator Loss: 1.0716... Generator Loss: 1.1598
Epoch 1/1... Discriminator Loss: 1.2430... Generator Loss: 0.7926
Epoch 1/1... Discriminator Loss: 1.2392... Generator Loss: 1.0508
Epoch 1/1... Discriminator Loss: 1.4041... Generator Loss: 0.7844
Epoch 1/1... Discriminator Loss: 1.1772... Generator Loss: 0.8364
Epoch 1/1... Discriminator Loss: 1.4068... Generator Loss: 0.5252
Epoch 1/1... Discriminator Loss: 1.2170... Generator Loss: 0.7819
Epoch 1/1... Discriminator Loss: 1.3013... Generator Loss: 1.2498
Epoch 1/1... Discriminator Loss: 1.2413... Generator Loss: 0.7398
Epoch 1/1... Discriminator Loss: 1.1903... Generator Loss: 0.9099
Epoch 1/1... Discriminator Loss: 1.3270... Generator Loss: 0.6029
Epoch 1/1... Discriminator Loss: 1.1648... Generator Loss: 0.9147
Epoch 1/1... Discriminator Loss: 1.2348... Generator Loss: 1.0901
Epoch 1/1... Discriminator Loss: 1.1756... Generator Loss: 0.9539
Epoch 1/1... Discriminator Loss: 1.2682... Generator Loss: 0.7621
Epoch 1/1... Discriminator Loss: 1.2908... Generator Loss: 0.8511
Epoch 1/1... Discriminator Loss: 1.1409... Generator Loss: 0.7350
Epoch 1/1... Discriminator Loss: 1.3045... Generator Loss: 1.3069
Epoch 1/1... Discriminator Loss: 1.4309... Generator Loss: 0.6711
Epoch 1/1... Discriminator Loss: 1.0736... Generator Loss: 1.0874
Epoch 1/1... Discriminator Loss: 1.2235... Generator Loss: 0.8880
Epoch 1/1... Discriminator Loss: 1.0975... Generator Loss: 0.9681
Epoch 1/1... Discriminator Loss: 1.2158... Generator Loss: 0.9468
Epoch 1/1... Discriminator Loss: 1.4611... Generator Loss: 0.4855
Epoch 1/1... Discriminator Loss: 1.4290... Generator Loss: 0.7520
Epoch 1/1... Discriminator Loss: 1.1889... Generator Loss: 0.6328
Epoch 1/1... Discriminator Loss: 1.1864... Generator Loss: 0.8626
Epoch 1/1... Discriminator Loss: 1.2723... Generator Loss: 1.1318
Epoch 1/1... Discriminator Loss: 1.0435... Generator Loss: 0.8882
Epoch 1/1... Discriminator Loss: 1.2482... Generator Loss: 0.8358
Epoch 1/1... Discriminator Loss: 1.1092... Generator Loss: 1.2985
Epoch 1/1... Discriminator Loss: 1.4456... Generator Loss: 0.6665
Epoch 1/1... Discriminator Loss: 1.5222... Generator Loss: 0.4723
Epoch 1/1... Discriminator Loss: 1.1860... Generator Loss: 1.0457
Epoch 1/1... Discriminator Loss: 1.2208... Generator Loss: 0.8385
Epoch 1/1... Discriminator Loss: 1.0852... Generator Loss: 1.2024
Epoch 1/1... Discriminator Loss: 1.3136... Generator Loss: 0.7609
Epoch 1/1... Discriminator Loss: 1.3604... Generator Loss: 0.8308
Epoch 1/1... Discriminator Loss: 1.1878... Generator Loss: 1.2306
Epoch 1/1... Discriminator Loss: 1.3256... Generator Loss: 0.9706
Epoch 1/1... Discriminator Loss: 1.3473... Generator Loss: 0.6755
Epoch 1/1... Discriminator Loss: 1.0588... Generator Loss: 1.0392
Epoch 1/1... Discriminator Loss: 1.2929... Generator Loss: 0.9044
Epoch 1/1... Discriminator Loss: 1.2600... Generator Loss: 0.6556
Epoch 1/1... Discriminator Loss: 1.2831... Generator Loss: 0.8357
Epoch 1/1... Discriminator Loss: 1.1906... Generator Loss: 1.0865
Epoch 1/1... Discriminator Loss: 1.3175... Generator Loss: 0.8492
Epoch 1/1... Discriminator Loss: 1.0997... Generator Loss: 1.1134
Epoch 1/1... Discriminator Loss: 1.2868... Generator Loss: 0.8515
Epoch 1/1... Discriminator Loss: 1.1285... Generator Loss: 1.0260
Epoch 1/1... Discriminator Loss: 1.3450... Generator Loss: 0.7216
Epoch 1/1... Discriminator Loss: 1.3649... Generator Loss: 1.0276
Epoch 1/1... Discriminator Loss: 1.2339... Generator Loss: 0.6675
Epoch 1/1... Discriminator Loss: 1.2407... Generator Loss: 0.9383
Epoch 1/1... Discriminator Loss: 1.1823... Generator Loss: 1.2115
Epoch 1/1... Discriminator Loss: 1.1151... Generator Loss: 0.8841
Epoch 1/1... Discriminator Loss: 1.0514... Generator Loss: 1.0510
Epoch 1/1... Discriminator Loss: 1.3168... Generator Loss: 0.7607
Epoch 1/1... Discriminator Loss: 1.2866... Generator Loss: 0.7457
Epoch 1/1... Discriminator Loss: 1.2273... Generator Loss: 0.7266
Epoch 1/1... Discriminator Loss: 1.1935... Generator Loss: 1.0098
Epoch 1/1... Discriminator Loss: 1.3504... Generator Loss: 0.8123
Epoch 1/1... Discriminator Loss: 1.0544... Generator Loss: 1.2225
Epoch 1/1... Discriminator Loss: 1.3606... Generator Loss: 0.7584
Epoch 1/1... Discriminator Loss: 1.1965... Generator Loss: 0.8190
Epoch 1/1... Discriminator Loss: 1.1695... Generator Loss: 1.1979
Epoch 1/1... Discriminator Loss: 1.2784... Generator Loss: 1.1478
Epoch 1/1... Discriminator Loss: 1.2578... Generator Loss: 0.9178
Epoch 1/1... Discriminator Loss: 1.3526... Generator Loss: 0.7742
Epoch 1/1... Discriminator Loss: 1.1805... Generator Loss: 0.8548
Epoch 1/1... Discriminator Loss: 1.3624... Generator Loss: 0.6896
Epoch 1/1... Discriminator Loss: 1.2450... Generator Loss: 1.0051
Epoch 1/1... Discriminator Loss: 1.0923... Generator Loss: 1.0537
Epoch 1/1... Discriminator Loss: 1.2983... Generator Loss: 0.5464
Epoch 1/1... Discriminator Loss: 1.2962... Generator Loss: 0.7612
Epoch 1/1... Discriminator Loss: 1.3545... Generator Loss: 0.7481
Epoch 1/1... Discriminator Loss: 1.4015... Generator Loss: 0.7944
Epoch 1/1... Discriminator Loss: 1.1925... Generator Loss: 1.2016
Epoch 1/1... Discriminator Loss: 1.0096... Generator Loss: 0.9742
Epoch 1/1... Discriminator Loss: 1.3203... Generator Loss: 1.2578
Epoch 1/1... Discriminator Loss: 1.2126... Generator Loss: 1.0828
Epoch 1/1... Discriminator Loss: 1.2494... Generator Loss: 0.7815
Epoch 1/1... Discriminator Loss: 1.1793... Generator Loss: 0.7285
Epoch 1/1... Discriminator Loss: 1.3141... Generator Loss: 0.7167
Epoch 1/1... Discriminator Loss: 1.3192... Generator Loss: 0.6758
Epoch 1/1... Discriminator Loss: 1.1856... Generator Loss: 0.7757
Epoch 1/1... Discriminator Loss: 1.2885... Generator Loss: 1.0399
Epoch 1/1... Discriminator Loss: 1.2067... Generator Loss: 0.8507
Epoch 1/1... Discriminator Loss: 0.9844... Generator Loss: 1.1261
Epoch 1/1... Discriminator Loss: 1.2853... Generator Loss: 0.7587
Epoch 1/1... Discriminator Loss: 1.3129... Generator Loss: 0.8674
Epoch 1/1... Discriminator Loss: 1.4823... Generator Loss: 0.5115
Epoch 1/1... Discriminator Loss: 1.0893... Generator Loss: 0.7621
Epoch 1/1... Discriminator Loss: 1.2705... Generator Loss: 0.8493
Epoch 1/1... Discriminator Loss: 1.3283... Generator Loss: 0.5419
Epoch 1/1... Discriminator Loss: 1.2301... Generator Loss: 0.8179
Epoch 1/1... Discriminator Loss: 1.3108... Generator Loss: 0.7633
Epoch 1/1... Discriminator Loss: 1.3449... Generator Loss: 0.7436
Epoch 1/1... Discriminator Loss: 1.1206... Generator Loss: 1.0324
Epoch 1/1... Discriminator Loss: 1.3308... Generator Loss: 0.5806
Epoch 1/1... Discriminator Loss: 1.2862... Generator Loss: 0.8040
Epoch 1/1... Discriminator Loss: 1.1408... Generator Loss: 0.9803
Epoch 1/1... Discriminator Loss: 1.3498... Generator Loss: 0.6261
Epoch 1/1... Discriminator Loss: 1.2147... Generator Loss: 0.9023
Epoch 1/1... Discriminator Loss: 1.0494... Generator Loss: 1.0637
Epoch 1/1... Discriminator Loss: 1.1433... Generator Loss: 1.0944
Epoch 1/1... Discriminator Loss: 1.3840... Generator Loss: 0.7610
Epoch 1/1... Discriminator Loss: 1.2879... Generator Loss: 0.9249
Epoch 1/1... Discriminator Loss: 1.0954... Generator Loss: 1.2769
Epoch 1/1... Discriminator Loss: 1.4571... Generator Loss: 0.6435
Epoch 1/1... Discriminator Loss: 1.2015... Generator Loss: 0.9899
Epoch 1/1... Discriminator Loss: 1.2897... Generator Loss: 1.3057
Epoch 1/1... Discriminator Loss: 1.0814... Generator Loss: 1.0380
Epoch 1/1... Discriminator Loss: 1.3524... Generator Loss: 0.5295
Epoch 1/1... Discriminator Loss: 1.2486... Generator Loss: 0.8722
Epoch 1/1... Discriminator Loss: 1.3029... Generator Loss: 0.8108
Epoch 1/1... Discriminator Loss: 1.3323... Generator Loss: 0.5452
Epoch 1/1... Discriminator Loss: 1.2137... Generator Loss: 1.0593
Epoch 1/1... Discriminator Loss: 1.4979... Generator Loss: 0.7053
Epoch 1/1... Discriminator Loss: 1.0814... Generator Loss: 1.0816
Epoch 1/1... Discriminator Loss: 1.3196... Generator Loss: 0.7756
Epoch 1/1... Discriminator Loss: 1.2291... Generator Loss: 0.7110
Epoch 1/1... Discriminator Loss: 1.3597... Generator Loss: 0.7125
Epoch 1/1... Discriminator Loss: 1.3380... Generator Loss: 0.7604
Epoch 1/1... Discriminator Loss: 1.2286... Generator Loss: 0.7897
Epoch 1/1... Discriminator Loss: 1.3001... Generator Loss: 0.7493
Epoch 1/1... Discriminator Loss: 1.1244... Generator Loss: 1.2254
Epoch 1/1... Discriminator Loss: 1.2863... Generator Loss: 1.1754
Epoch 1/1... Discriminator Loss: 1.3106... Generator Loss: 0.7895
Epoch 1/1... Discriminator Loss: 1.4117... Generator Loss: 0.5509
Epoch 1/1... Discriminator Loss: 1.1521... Generator Loss: 1.1027
Epoch 1/1... Discriminator Loss: 1.1472... Generator Loss: 0.9139
Epoch 1/1... Discriminator Loss: 1.1401... Generator Loss: 0.7603
Epoch 1/1... Discriminator Loss: 1.3789... Generator Loss: 0.9128
Epoch 1/1... Discriminator Loss: 1.0822... Generator Loss: 1.0460
Epoch 1/1... Discriminator Loss: 1.1485... Generator Loss: 0.8871
Epoch 1/1... Discriminator Loss: 1.3165... Generator Loss: 0.7793
Epoch 1/1... Discriminator Loss: 1.5141... Generator Loss: 0.9307
Epoch 1/1... Discriminator Loss: 1.0895... Generator Loss: 1.0310
Epoch 1/1... Discriminator Loss: 1.2407... Generator Loss: 0.8447
Epoch 1/1... Discriminator Loss: 1.1518... Generator Loss: 0.7203
Epoch 1/1... Discriminator Loss: 1.2007... Generator Loss: 0.9343
Epoch 1/1... Discriminator Loss: 1.2784... Generator Loss: 0.6587
Epoch 1/1... Discriminator Loss: 1.1171... Generator Loss: 1.0903
Epoch 1/1... Discriminator Loss: 1.0514... Generator Loss: 1.0607
Epoch 1/1... Discriminator Loss: 1.2122... Generator Loss: 0.7146
Epoch 1/1... Discriminator Loss: 1.2158... Generator Loss: 0.7129
Epoch 1/1... Discriminator Loss: 1.0652... Generator Loss: 0.9063
Epoch 1/1... Discriminator Loss: 1.4393... Generator Loss: 0.7052
Epoch 1/1... Discriminator Loss: 1.2242... Generator Loss: 1.2224
Epoch 1/1... Discriminator Loss: 1.2693... Generator Loss: 0.7989
Epoch 1/1... Discriminator Loss: 1.1109... Generator Loss: 0.8665
Epoch 1/1... Discriminator Loss: 1.1529... Generator Loss: 0.9395
Epoch 1/1... Discriminator Loss: 1.1024... Generator Loss: 0.7387
Epoch 1/1... Discriminator Loss: 1.1739... Generator Loss: 0.9779
Epoch 1/1... Discriminator Loss: 1.0993... Generator Loss: 0.8933
Epoch 1/1... Discriminator Loss: 1.1118... Generator Loss: 1.0411
Epoch 1/1... Discriminator Loss: 0.9647... Generator Loss: 1.4081
Epoch 1/1... Discriminator Loss: 1.1705... Generator Loss: 0.8467
Epoch 1/1... Discriminator Loss: 1.2066... Generator Loss: 0.9184
Epoch 1/1... Discriminator Loss: 1.2057... Generator Loss: 0.9636
Epoch 1/1... Discriminator Loss: 1.1156... Generator Loss: 0.9600
Epoch 1/1... Discriminator Loss: 1.3109... Generator Loss: 0.9873
Epoch 1/1... Discriminator Loss: 0.9965... Generator Loss: 1.4536
Epoch 1/1... Discriminator Loss: 1.1271... Generator Loss: 1.0312
Epoch 1/1... Discriminator Loss: 1.3483... Generator Loss: 1.0045
Epoch 1/1... Discriminator Loss: 1.3787... Generator Loss: 0.7664
Epoch 1/1... Discriminator Loss: 1.0520... Generator Loss: 0.8381
Epoch 1/1... Discriminator Loss: 1.1498... Generator Loss: 1.1030
Epoch 1/1... Discriminator Loss: 1.2171... Generator Loss: 0.9776
Epoch 1/1... Discriminator Loss: 1.1219... Generator Loss: 1.1771
Epoch 1/1... Discriminator Loss: 1.3283... Generator Loss: 0.6877
Epoch 1/1... Discriminator Loss: 1.3172... Generator Loss: 0.8189
Epoch 1/1... Discriminator Loss: 0.9876... Generator Loss: 1.1873
Epoch 1/1... Discriminator Loss: 1.2115... Generator Loss: 0.9080
Epoch 1/1... Discriminator Loss: 1.1804... Generator Loss: 0.8565
Epoch 1/1... Discriminator Loss: 1.2400... Generator Loss: 0.8710
Epoch 1/1... Discriminator Loss: 1.2813... Generator Loss: 1.0455
Epoch 1/1... Discriminator Loss: 1.3883... Generator Loss: 0.7438
Epoch 1/1... Discriminator Loss: 1.1132... Generator Loss: 0.9733
Epoch 1/1... Discriminator Loss: 1.3365... Generator Loss: 0.8080
Epoch 1/1... Discriminator Loss: 1.0368... Generator Loss: 1.0917
Epoch 1/1... Discriminator Loss: 1.2725... Generator Loss: 0.9031
Epoch 1/1... Discriminator Loss: 1.1357... Generator Loss: 0.9730
Epoch 1/1... Discriminator Loss: 1.1555... Generator Loss: 0.9820
Epoch 1/1... Discriminator Loss: 1.4671... Generator Loss: 0.6843
Epoch 1/1... Discriminator Loss: 1.1702... Generator Loss: 0.9141
Epoch 1/1... Discriminator Loss: 1.3910... Generator Loss: 0.6291
Epoch 1/1... Discriminator Loss: 1.3642... Generator Loss: 0.7647
Epoch 1/1... Discriminator Loss: 1.1608... Generator Loss: 0.8955
Epoch 1/1... Discriminator Loss: 1.1633... Generator Loss: 0.7458
Epoch 1/1... Discriminator Loss: 1.0681... Generator Loss: 0.8498
Epoch 1/1... Discriminator Loss: 1.1810... Generator Loss: 1.8049
Epoch 1/1... Discriminator Loss: 1.2813... Generator Loss: 0.6726
Epoch 1/1... Discriminator Loss: 1.4246... Generator Loss: 0.5948
Epoch 1/1... Discriminator Loss: 1.2650... Generator Loss: 1.0400
Epoch 1/1... Discriminator Loss: 1.1196... Generator Loss: 0.9430
Epoch 1/1... Discriminator Loss: 1.2284... Generator Loss: 0.7129
Epoch 1/1... Discriminator Loss: 1.3146... Generator Loss: 0.5499
Epoch 1/1... Discriminator Loss: 1.1954... Generator Loss: 1.2034
Epoch 1/1... Discriminator Loss: 1.3569... Generator Loss: 1.4176
Epoch 1/1... Discriminator Loss: 1.2590... Generator Loss: 0.6890
Epoch 1/1... Discriminator Loss: 1.1277... Generator Loss: 0.8961
Epoch 1/1... Discriminator Loss: 1.3008... Generator Loss: 1.1821
Epoch 1/1... Discriminator Loss: 1.1426... Generator Loss: 0.7588
Epoch 1/1... Discriminator Loss: 1.0889... Generator Loss: 1.3250
Epoch 1/1... Discriminator Loss: 1.1829... Generator Loss: 0.7591
Epoch 1/1... Discriminator Loss: 1.0930... Generator Loss: 1.0701
Epoch 1/1... Discriminator Loss: 1.6468... Generator Loss: 0.5113
Epoch 1/1... Discriminator Loss: 1.1616... Generator Loss: 0.9922
Epoch 1/1... Discriminator Loss: 1.2987... Generator Loss: 0.8698
Epoch 1/1... Discriminator Loss: 1.3501... Generator Loss: 0.7751
Epoch 1/1... Discriminator Loss: 0.8422... Generator Loss: 1.0366
Epoch 1/1... Discriminator Loss: 1.3238... Generator Loss: 0.4661
Epoch 1/1... Discriminator Loss: 1.1339... Generator Loss: 1.0107
Epoch 1/1... Discriminator Loss: 1.2054... Generator Loss: 0.8089
Epoch 1/1... Discriminator Loss: 1.0906... Generator Loss: 0.7850
Epoch 1/1... Discriminator Loss: 1.3119... Generator Loss: 0.6631
Epoch 1/1... Discriminator Loss: 1.3013... Generator Loss: 0.5901
Epoch 1/1... Discriminator Loss: 1.0086... Generator Loss: 1.0055
Epoch 1/1... Discriminator Loss: 1.1883... Generator Loss: 0.7546
Epoch 1/1... Discriminator Loss: 0.9778... Generator Loss: 1.0954
Epoch 1/1... Discriminator Loss: 1.4715... Generator Loss: 0.7444
Epoch 1/1... Discriminator Loss: 1.0767... Generator Loss: 0.9570
Epoch 1/1... Discriminator Loss: 1.3132... Generator Loss: 1.3311
Epoch 1/1... Discriminator Loss: 1.3558... Generator Loss: 1.1413
Epoch 1/1... Discriminator Loss: 1.2827... Generator Loss: 0.7353
Epoch 1/1... Discriminator Loss: 1.4537... Generator Loss: 0.5854
Epoch 1/1... Discriminator Loss: 1.0903... Generator Loss: 0.9517
Epoch 1/1... Discriminator Loss: 1.2406... Generator Loss: 0.7648
Epoch 1/1... Discriminator Loss: 1.1417... Generator Loss: 1.0589
Epoch 1/1... Discriminator Loss: 0.9148... Generator Loss: 0.9751
Epoch 1/1... Discriminator Loss: 1.2612... Generator Loss: 0.7709
Epoch 1/1... Discriminator Loss: 1.2389... Generator Loss: 0.8117
Epoch 1/1... Discriminator Loss: 1.2872... Generator Loss: 0.8522
Epoch 1/1... Discriminator Loss: 1.2350... Generator Loss: 0.7311
Epoch 1/1... Discriminator Loss: 1.0757... Generator Loss: 1.0524
Epoch 1/1... Discriminator Loss: 1.0785... Generator Loss: 0.9189
Epoch 1/1... Discriminator Loss: 1.1752... Generator Loss: 0.8426
Epoch 1/1... Discriminator Loss: 1.2689... Generator Loss: 0.7899
Epoch 1/1... Discriminator Loss: 1.1928... Generator Loss: 0.7352
Epoch 1/1... Discriminator Loss: 1.3948... Generator Loss: 0.6489
Epoch 1/1... Discriminator Loss: 1.1379... Generator Loss: 1.4792
Epoch 1/1... Discriminator Loss: 1.2110... Generator Loss: 1.2030
Epoch 1/1... Discriminator Loss: 1.3406... Generator Loss: 0.7136
Epoch 1/1... Discriminator Loss: 1.2781... Generator Loss: 0.4891
Epoch 1/1... Discriminator Loss: 1.4129... Generator Loss: 0.7677
Epoch 1/1... Discriminator Loss: 1.1621... Generator Loss: 1.3631
Epoch 1/1... Discriminator Loss: 1.1822... Generator Loss: 0.6872
Epoch 1/1... Discriminator Loss: 0.9651... Generator Loss: 1.0411
Epoch 1/1... Discriminator Loss: 1.3231... Generator Loss: 0.7159
Epoch 1/1... Discriminator Loss: 1.3312... Generator Loss: 0.4700
Epoch 1/1... Discriminator Loss: 1.3719... Generator Loss: 0.7267
Epoch 1/1... Discriminator Loss: 1.0773... Generator Loss: 1.3225
Epoch 1/1... Discriminator Loss: 1.2175... Generator Loss: 0.6452
Epoch 1/1... Discriminator Loss: 1.1873... Generator Loss: 0.9800
Epoch 1/1... Discriminator Loss: 1.3995... Generator Loss: 1.0945
Epoch 1/1... Discriminator Loss: 1.1402... Generator Loss: 1.5226
Epoch 1/1... Discriminator Loss: 1.2252... Generator Loss: 1.0325
Epoch 1/1... Discriminator Loss: 1.2479... Generator Loss: 0.8907
Epoch 1/1... Discriminator Loss: 1.1487... Generator Loss: 0.8029
Epoch 1/1... Discriminator Loss: 1.1849... Generator Loss: 1.5055
Epoch 1/1... Discriminator Loss: 1.3590... Generator Loss: 0.5353
Epoch 1/1... Discriminator Loss: 1.4555... Generator Loss: 0.5823
Epoch 1/1... Discriminator Loss: 1.2892... Generator Loss: 0.8216
Epoch 1/1... Discriminator Loss: 1.2498... Generator Loss: 1.1230
Epoch 1/1... Discriminator Loss: 1.0462... Generator Loss: 1.3221
Epoch 1/1... Discriminator Loss: 1.0121... Generator Loss: 1.0057
Epoch 1/1... Discriminator Loss: 1.1515... Generator Loss: 1.1771
Epoch 1/1... Discriminator Loss: 1.2722... Generator Loss: 0.7491
Epoch 1/1... Discriminator Loss: 1.2260... Generator Loss: 0.6152
Epoch 1/1... Discriminator Loss: 1.1601... Generator Loss: 0.9316
Epoch 1/1... Discriminator Loss: 1.1523... Generator Loss: 0.8235
Epoch 1/1... Discriminator Loss: 1.2650... Generator Loss: 0.5820
Epoch 1/1... Discriminator Loss: 1.1803... Generator Loss: 1.1230
Epoch 1/1... Discriminator Loss: 1.0883... Generator Loss: 0.8024
Epoch 1/1... Discriminator Loss: 1.0847... Generator Loss: 0.9863
Epoch 1/1... Discriminator Loss: 1.3214... Generator Loss: 1.2206
Epoch 1/1... Discriminator Loss: 1.0220... Generator Loss: 1.2568
Epoch 1/1... Discriminator Loss: 1.0135... Generator Loss: 1.6607
Epoch 1/1... Discriminator Loss: 1.3124... Generator Loss: 0.7319
Epoch 1/1... Discriminator Loss: 1.1582... Generator Loss: 1.1833
Epoch 1/1... Discriminator Loss: 1.4457... Generator Loss: 0.5655
Epoch 1/1... Discriminator Loss: 1.2630... Generator Loss: 0.6689
Epoch 1/1... Discriminator Loss: 1.4172... Generator Loss: 0.5601
Epoch 1/1... Discriminator Loss: 1.1100... Generator Loss: 0.9259
Epoch 1/1... Discriminator Loss: 1.3105... Generator Loss: 0.5912
Epoch 1/1... Discriminator Loss: 1.1948... Generator Loss: 0.6965
Epoch 1/1... Discriminator Loss: 1.4143... Generator Loss: 0.8103
Epoch 1/1... Discriminator Loss: 1.2062... Generator Loss: 0.7804
Epoch 1/1... Discriminator Loss: 1.1596... Generator Loss: 1.1326
Epoch 1/1... Discriminator Loss: 1.1403... Generator Loss: 1.0139
Epoch 1/1... Discriminator Loss: 1.3505... Generator Loss: 0.9211
Epoch 1/1... Discriminator Loss: 1.1343... Generator Loss: 1.0865
Epoch 1/1... Discriminator Loss: 1.2871... Generator Loss: 0.6645
Epoch 1/1... Discriminator Loss: 1.1519... Generator Loss: 1.3299
Epoch 1/1... Discriminator Loss: 1.4140... Generator Loss: 0.5725
Epoch 1/1... Discriminator Loss: 1.3335... Generator Loss: 0.8439
Epoch 1/1... Discriminator Loss: 1.2432... Generator Loss: 0.8045
Epoch 1/1... Discriminator Loss: 1.3675... Generator Loss: 0.8113
Epoch 1/1... Discriminator Loss: 1.1191... Generator Loss: 0.8165
Epoch 1/1... Discriminator Loss: 1.3679... Generator Loss: 0.7955
Epoch 1/1... Discriminator Loss: 1.2539... Generator Loss: 0.8330
Epoch 1/1... Discriminator Loss: 1.1807... Generator Loss: 1.0331
Epoch 1/1... Discriminator Loss: 1.3540... Generator Loss: 0.5325
Epoch 1/1... Discriminator Loss: 1.2016... Generator Loss: 0.7781
Epoch 1/1... Discriminator Loss: 1.1562... Generator Loss: 0.9542
Epoch 1/1... Discriminator Loss: 1.2950... Generator Loss: 0.8184
Epoch 1/1... Discriminator Loss: 1.2528... Generator Loss: 1.0008
Epoch 1/1... Discriminator Loss: 0.9411... Generator Loss: 1.1348
Epoch 1/1... Discriminator Loss: 1.3664... Generator Loss: 0.8235
Epoch 1/1... Discriminator Loss: 1.3746... Generator Loss: 0.6278
Epoch 1/1... Discriminator Loss: 1.2465... Generator Loss: 0.9092
Epoch 1/1... Discriminator Loss: 1.3895... Generator Loss: 0.7406
Epoch 1/1... Discriminator Loss: 1.2360... Generator Loss: 0.8483
Epoch 1/1... Discriminator Loss: 1.2053... Generator Loss: 0.6516
Epoch 1/1... Discriminator Loss: 1.3266... Generator Loss: 0.6995
Epoch 1/1... Discriminator Loss: 1.1731... Generator Loss: 0.7988
Epoch 1/1... Discriminator Loss: 1.3401... Generator Loss: 1.2965
Epoch 1/1... Discriminator Loss: 1.4285... Generator Loss: 0.8077
Epoch 1/1... Discriminator Loss: 1.0454... Generator Loss: 1.4015
Epoch 1/1... Discriminator Loss: 1.2173... Generator Loss: 0.8071
Epoch 1/1... Discriminator Loss: 0.9464... Generator Loss: 1.1494
Epoch 1/1... Discriminator Loss: 1.3445... Generator Loss: 0.8243
Epoch 1/1... Discriminator Loss: 1.2249... Generator Loss: 0.7613
Epoch 1/1... Discriminator Loss: 1.0134... Generator Loss: 1.0277
Epoch 1/1... Discriminator Loss: 1.0403... Generator Loss: 1.0002
Epoch 1/1... Discriminator Loss: 1.1837... Generator Loss: 0.6726
Epoch 1/1... Discriminator Loss: 1.0591... Generator Loss: 0.8830
Epoch 1/1... Discriminator Loss: 1.2971... Generator Loss: 0.6726
Epoch 1/1... Discriminator Loss: 1.1129... Generator Loss: 0.8983
Epoch 1/1... Discriminator Loss: 1.1073... Generator Loss: 1.1684
Epoch 1/1... Discriminator Loss: 1.0720... Generator Loss: 1.1713
Epoch 1/1... Discriminator Loss: 0.8195... Generator Loss: 1.6094
Epoch 1/1... Discriminator Loss: 1.0936... Generator Loss: 0.9525
Epoch 1/1... Discriminator Loss: 1.0240... Generator Loss: 1.1015
Epoch 1/1... Discriminator Loss: 1.1337... Generator Loss: 0.8606
Epoch 1/1... Discriminator Loss: 1.2093... Generator Loss: 0.8984
Epoch 1/1... Discriminator Loss: 1.1388... Generator Loss: 1.2143
Epoch 1/1... Discriminator Loss: 1.0577... Generator Loss: 1.1132
Epoch 1/1... Discriminator Loss: 1.2414... Generator Loss: 0.6694
Epoch 1/1... Discriminator Loss: 1.1051... Generator Loss: 0.8853
Epoch 1/1... Discriminator Loss: 1.3953... Generator Loss: 0.5381
Epoch 1/1... Discriminator Loss: 1.2191... Generator Loss: 1.0238
Epoch 1/1... Discriminator Loss: 1.2500... Generator Loss: 0.6223
Epoch 1/1... Discriminator Loss: 1.2462... Generator Loss: 1.2631
Epoch 1/1... Discriminator Loss: 1.1833... Generator Loss: 0.7814
Epoch 1/1... Discriminator Loss: 1.3213... Generator Loss: 1.0197
Epoch 1/1... Discriminator Loss: 1.1880... Generator Loss: 0.9092
Epoch 1/1... Discriminator Loss: 0.9450... Generator Loss: 1.2084
Epoch 1/1... Discriminator Loss: 1.2709... Generator Loss: 0.6076
Epoch 1/1... Discriminator Loss: 1.1588... Generator Loss: 1.4589
Epoch 1/1... Discriminator Loss: 1.0821... Generator Loss: 0.8308
Epoch 1/1... Discriminator Loss: 1.1300... Generator Loss: 1.1827
Epoch 1/1... Discriminator Loss: 1.2740... Generator Loss: 0.7132
Epoch 1/1... Discriminator Loss: 1.0898... Generator Loss: 1.0687
Epoch 1/1... Discriminator Loss: 1.2100... Generator Loss: 0.7351
Epoch 1/1... Discriminator Loss: 1.4187... Generator Loss: 0.4741
Epoch 1/1... Discriminator Loss: 1.2006... Generator Loss: 0.8766
Epoch 1/1... Discriminator Loss: 1.2413... Generator Loss: 0.8509
Epoch 1/1... Discriminator Loss: 0.9824... Generator Loss: 1.4943
Epoch 1/1... Discriminator Loss: 1.3425... Generator Loss: 0.6976
Epoch 1/1... Discriminator Loss: 1.2958... Generator Loss: 0.5573
Epoch 1/1... Discriminator Loss: 1.2057... Generator Loss: 0.8292
Epoch 1/1... Discriminator Loss: 1.3617... Generator Loss: 0.5051
Epoch 1/1... Discriminator Loss: 1.2191... Generator Loss: 1.1269
Epoch 1/1... Discriminator Loss: 1.0485... Generator Loss: 1.0629
Epoch 1/1... Discriminator Loss: 1.2313... Generator Loss: 1.0766
Epoch 1/1... Discriminator Loss: 1.4051... Generator Loss: 0.6322
Epoch 1/1... Discriminator Loss: 1.2040... Generator Loss: 0.9062
Epoch 1/1... Discriminator Loss: 1.3071... Generator Loss: 0.8673
Epoch 1/1... Discriminator Loss: 1.0977... Generator Loss: 0.6551
Epoch 1/1... Discriminator Loss: 1.2704... Generator Loss: 0.9914
Epoch 1/1... Discriminator Loss: 1.2867... Generator Loss: 0.7355
Epoch 1/1... Discriminator Loss: 1.2481... Generator Loss: 0.8555
Epoch 1/1... Discriminator Loss: 1.1301... Generator Loss: 0.6730
Epoch 1/1... Discriminator Loss: 1.5963... Generator Loss: 0.8811
Epoch 1/1... Discriminator Loss: 1.2762... Generator Loss: 0.4545
Epoch 1/1... Discriminator Loss: 1.2124... Generator Loss: 1.0342
Epoch 1/1... Discriminator Loss: 1.2260... Generator Loss: 0.9137
Epoch 1/1... Discriminator Loss: 1.1955... Generator Loss: 0.8465
Epoch 1/1... Discriminator Loss: 1.0704... Generator Loss: 1.2486
Epoch 1/1... Discriminator Loss: 1.3662... Generator Loss: 0.6697
Epoch 1/1... Discriminator Loss: 1.2032... Generator Loss: 1.1252
Epoch 1/1... Discriminator Loss: 1.1611... Generator Loss: 1.2128
Epoch 1/1... Discriminator Loss: 1.0280... Generator Loss: 1.1535
Epoch 1/1... Discriminator Loss: 1.3925... Generator Loss: 0.5732
Epoch 1/1... Discriminator Loss: 1.1663... Generator Loss: 0.8334
Epoch 1/1... Discriminator Loss: 1.3473... Generator Loss: 0.9142
Epoch 1/1... Discriminator Loss: 1.0619... Generator Loss: 0.8096
Epoch 1/1... Discriminator Loss: 1.1081... Generator Loss: 0.9584
Epoch 1/1... Discriminator Loss: 1.2564... Generator Loss: 0.9304
Epoch 1/1... Discriminator Loss: 1.1354... Generator Loss: 1.2723
Epoch 1/1... Discriminator Loss: 1.1025... Generator Loss: 0.9189
Epoch 1/1... Discriminator Loss: 1.1050... Generator Loss: 0.7852
Epoch 1/1... Discriminator Loss: 1.0048... Generator Loss: 0.9311
Epoch 1/1... Discriminator Loss: 1.3498... Generator Loss: 0.8484
Epoch 1/1... Discriminator Loss: 0.9760... Generator Loss: 1.2165
Epoch 1/1... Discriminator Loss: 1.2769... Generator Loss: 0.7912
Epoch 1/1... Discriminator Loss: 1.1082... Generator Loss: 1.0440
Epoch 1/1... Discriminator Loss: 1.5253... Generator Loss: 0.5656
Epoch 1/1... Discriminator Loss: 1.1490... Generator Loss: 0.9275
Epoch 1/1... Discriminator Loss: 1.2625... Generator Loss: 0.8696
Epoch 1/1... Discriminator Loss: 1.1406... Generator Loss: 0.9439
Epoch 1/1... Discriminator Loss: 1.4400... Generator Loss: 1.1287
Epoch 1/1... Discriminator Loss: 1.1996... Generator Loss: 1.0736
Epoch 1/1... Discriminator Loss: 1.4625... Generator Loss: 0.4574
Epoch 1/1... Discriminator Loss: 1.0723... Generator Loss: 1.1724
Epoch 1/1... Discriminator Loss: 1.0537... Generator Loss: 1.0616
Epoch 1/1... Discriminator Loss: 0.9545... Generator Loss: 1.4484
Epoch 1/1... Discriminator Loss: 1.0523... Generator Loss: 1.0449
Epoch 1/1... Discriminator Loss: 0.9420... Generator Loss: 1.1299
Epoch 1/1... Discriminator Loss: 1.0689... Generator Loss: 0.8483
Epoch 1/1... Discriminator Loss: 1.0259... Generator Loss: 0.8961
Epoch 1/1... Discriminator Loss: 1.1560... Generator Loss: 1.2098
Epoch 1/1... Discriminator Loss: 0.9124... Generator Loss: 1.3580
Epoch 1/1... Discriminator Loss: 1.0984... Generator Loss: 0.6888
Epoch 1/1... Discriminator Loss: 1.1442... Generator Loss: 0.8255
Epoch 1/1... Discriminator Loss: 1.1480... Generator Loss: 0.8560
Epoch 1/1... Discriminator Loss: 1.3098... Generator Loss: 0.6612
Epoch 1/1... Discriminator Loss: 0.9821... Generator Loss: 1.4209
Epoch 1/1... Discriminator Loss: 1.3068... Generator Loss: 0.6360
Epoch 1/1... Discriminator Loss: 1.0822... Generator Loss: 1.6323
Epoch 1/1... Discriminator Loss: 1.0113... Generator Loss: 1.0173
Epoch 1/1... Discriminator Loss: 1.2225... Generator Loss: 0.7651
Epoch 1/1... Discriminator Loss: 1.1346... Generator Loss: 0.6549
Epoch 1/1... Discriminator Loss: 1.0303... Generator Loss: 0.9850
Epoch 1/1... Discriminator Loss: 1.2105... Generator Loss: 0.7687
Epoch 1/1... Discriminator Loss: 1.1989... Generator Loss: 1.0683
Epoch 1/1... Discriminator Loss: 1.1467... Generator Loss: 0.9369
Epoch 1/1... Discriminator Loss: 1.2566... Generator Loss: 0.8936
Epoch 1/1... Discriminator Loss: 1.3081... Generator Loss: 1.0846
Epoch 1/1... Discriminator Loss: 1.1430... Generator Loss: 0.9229
Epoch 1/1... Discriminator Loss: 1.2972... Generator Loss: 0.7072
Epoch 1/1... Discriminator Loss: 1.0984... Generator Loss: 1.1165
Epoch 1/1... Discriminator Loss: 1.2196... Generator Loss: 0.6079
Epoch 1/1... Discriminator Loss: 1.3623... Generator Loss: 0.7116
Epoch 1/1... Discriminator Loss: 1.1279... Generator Loss: 1.2831
Epoch 1/1... Discriminator Loss: 1.1708... Generator Loss: 1.0277
Epoch 1/1... Discriminator Loss: 1.2066... Generator Loss: 0.7072
Epoch 1/1... Discriminator Loss: 1.3153... Generator Loss: 0.6950
Epoch 1/1... Discriminator Loss: 1.2993... Generator Loss: 0.5395
Epoch 1/1... Discriminator Loss: 1.2387... Generator Loss: 0.6445
Epoch 1/1... Discriminator Loss: 1.0885... Generator Loss: 0.8262
Epoch 1/1... Discriminator Loss: 1.0543... Generator Loss: 1.1870
Epoch 1/1... Discriminator Loss: 1.3170... Generator Loss: 0.5717
Epoch 1/1... Discriminator Loss: 1.0954... Generator Loss: 1.2283
Epoch 1/1... Discriminator Loss: 1.1990... Generator Loss: 1.0912
Epoch 1/1... Discriminator Loss: 1.2714... Generator Loss: 0.8750
Epoch 1/1... Discriminator Loss: 1.1457... Generator Loss: 1.1508
Epoch 1/1... Discriminator Loss: 1.2088... Generator Loss: 0.9631
Epoch 1/1... Discriminator Loss: 1.1116... Generator Loss: 0.8057
Epoch 1/1... Discriminator Loss: 1.0089... Generator Loss: 0.7160
Epoch 1/1... Discriminator Loss: 1.2932... Generator Loss: 1.1394
Epoch 1/1... Discriminator Loss: 1.1167... Generator Loss: 1.4301
Epoch 1/1... Discriminator Loss: 1.0318... Generator Loss: 0.9081
Epoch 1/1... Discriminator Loss: 1.1267... Generator Loss: 0.9774
Epoch 1/1... Discriminator Loss: 1.0568... Generator Loss: 1.0273
Epoch 1/1... Discriminator Loss: 1.2142... Generator Loss: 0.8381
Epoch 1/1... Discriminator Loss: 1.0319... Generator Loss: 1.1305
Epoch 1/1... Discriminator Loss: 1.4338... Generator Loss: 0.6106
Epoch 1/1... Discriminator Loss: 1.4007... Generator Loss: 0.7076
Epoch 1/1... Discriminator Loss: 1.2416... Generator Loss: 1.0524
Epoch 1/1... Discriminator Loss: 1.1190... Generator Loss: 1.0388
Epoch 1/1... Discriminator Loss: 1.0566... Generator Loss: 0.6712
Epoch 1/1... Discriminator Loss: 1.1962... Generator Loss: 1.0155
Epoch 1/1... Discriminator Loss: 1.2747... Generator Loss: 0.9488
Epoch 1/1... Discriminator Loss: 1.0995... Generator Loss: 0.6816
Epoch 1/1... Discriminator Loss: 1.3332... Generator Loss: 0.8899
Epoch 1/1... Discriminator Loss: 1.2380... Generator Loss: 0.6246
Epoch 1/1... Discriminator Loss: 1.0395... Generator Loss: 1.2191
Epoch 1/1... Discriminator Loss: 1.1808... Generator Loss: 1.0117
Epoch 1/1... Discriminator Loss: 1.2336... Generator Loss: 0.7578
Epoch 1/1... Discriminator Loss: 1.2420... Generator Loss: 0.7954
Epoch 1/1... Discriminator Loss: 1.1170... Generator Loss: 1.0020
Epoch 1/1... Discriminator Loss: 1.2398... Generator Loss: 0.6763
Epoch 1/1... Discriminator Loss: 1.1203... Generator Loss: 0.8642
Epoch 1/1... Discriminator Loss: 1.2625... Generator Loss: 0.9518
Epoch 1/1... Discriminator Loss: 1.2209... Generator Loss: 0.8309
Epoch 1/1... Discriminator Loss: 1.1524... Generator Loss: 0.9544
Epoch 1/1... Discriminator Loss: 1.1156... Generator Loss: 1.0352
Epoch 1/1... Discriminator Loss: 1.5820... Generator Loss: 0.5943
Epoch 1/1... Discriminator Loss: 1.0525... Generator Loss: 0.9562
Epoch 1/1... Discriminator Loss: 0.9509... Generator Loss: 1.0276
Epoch 1/1... Discriminator Loss: 1.0570... Generator Loss: 0.7996
Epoch 1/1... Discriminator Loss: 1.2784... Generator Loss: 0.8283
Epoch 1/1... Discriminator Loss: 1.0835... Generator Loss: 1.1708
Epoch 1/1... Discriminator Loss: 1.3354... Generator Loss: 0.6817
Epoch 1/1... Discriminator Loss: 1.4565... Generator Loss: 0.6500
Epoch 1/1... Discriminator Loss: 1.0933... Generator Loss: 1.2285
Epoch 1/1... Discriminator Loss: 1.0107... Generator Loss: 0.8844
Epoch 1/1... Discriminator Loss: 1.2759... Generator Loss: 1.0098
Epoch 1/1... Discriminator Loss: 1.1993... Generator Loss: 0.9007
Epoch 1/1... Discriminator Loss: 1.6307... Generator Loss: 0.4699
Epoch 1/1... Discriminator Loss: 1.0395... Generator Loss: 1.1164
Epoch 1/1... Discriminator Loss: 1.2322... Generator Loss: 0.7978
Epoch 1/1... Discriminator Loss: 1.1547... Generator Loss: 1.1293
Epoch 1/1... Discriminator Loss: 1.2785... Generator Loss: 0.9886
Epoch 1/1... Discriminator Loss: 1.1678... Generator Loss: 0.7348
Epoch 1/1... Discriminator Loss: 1.2031... Generator Loss: 0.8389
Epoch 1/1... Discriminator Loss: 1.3262... Generator Loss: 0.8089
Epoch 1/1... Discriminator Loss: 1.2530... Generator Loss: 0.6532
Epoch 1/1... Discriminator Loss: 1.1858... Generator Loss: 0.8387
Epoch 1/1... Discriminator Loss: 1.0353... Generator Loss: 1.0374
Epoch 1/1... Discriminator Loss: 1.0836... Generator Loss: 1.2696
Epoch 1/1... Discriminator Loss: 1.0888... Generator Loss: 0.9944
Epoch 1/1... Discriminator Loss: 1.2783... Generator Loss: 0.6155
Epoch 1/1... Discriminator Loss: 1.1110... Generator Loss: 1.0722
Epoch 1/1... Discriminator Loss: 0.9936... Generator Loss: 1.2706
Epoch 1/1... Discriminator Loss: 1.1389... Generator Loss: 1.0818
Epoch 1/1... Discriminator Loss: 1.1607... Generator Loss: 0.9123
Epoch 1/1... Discriminator Loss: 1.1591... Generator Loss: 0.9188
Epoch 1/1... Discriminator Loss: 1.0492... Generator Loss: 1.0156
Epoch 1/1... Discriminator Loss: 1.1436... Generator Loss: 1.0646
Epoch 1/1... Discriminator Loss: 1.3042... Generator Loss: 0.6433
Epoch 1/1... Discriminator Loss: 1.1417... Generator Loss: 1.3040
Epoch 1/1... Discriminator Loss: 1.1842... Generator Loss: 0.8705
Epoch 1/1... Discriminator Loss: 1.0977... Generator Loss: 1.2485
Epoch 1/1... Discriminator Loss: 1.3105... Generator Loss: 0.6188
Epoch 1/1... Discriminator Loss: 1.1214... Generator Loss: 0.8111
Epoch 1/1... Discriminator Loss: 1.2946... Generator Loss: 0.7605
Epoch 1/1... Discriminator Loss: 1.3499... Generator Loss: 0.5768
Epoch 1/1... Discriminator Loss: 1.2256... Generator Loss: 0.8483
Epoch 1/1... Discriminator Loss: 1.1311... Generator Loss: 1.4094
Epoch 1/1... Discriminator Loss: 1.3017... Generator Loss: 0.8000
Epoch 1/1... Discriminator Loss: 1.2038... Generator Loss: 1.1181
Epoch 1/1... Discriminator Loss: 1.4205... Generator Loss: 0.7221
Epoch 1/1... Discriminator Loss: 1.1609... Generator Loss: 0.7723
Epoch 1/1... Discriminator Loss: 1.0923... Generator Loss: 0.9429
Epoch 1/1... Discriminator Loss: 1.2062... Generator Loss: 0.6712
Epoch 1/1... Discriminator Loss: 1.2945... Generator Loss: 0.7879
Epoch 1/1... Discriminator Loss: 1.4158... Generator Loss: 0.7327
Epoch 1/1... Discriminator Loss: 1.1183... Generator Loss: 0.8955
Epoch 1/1... Discriminator Loss: 1.0916... Generator Loss: 1.1244
Epoch 1/1... Discriminator Loss: 1.1527... Generator Loss: 0.8229
Epoch 1/1... Discriminator Loss: 1.0192... Generator Loss: 1.0412
Epoch 1/1... Discriminator Loss: 1.2035... Generator Loss: 0.6790
Epoch 1/1... Discriminator Loss: 0.8799... Generator Loss: 1.4729
Epoch 1/1... Discriminator Loss: 1.0818... Generator Loss: 0.6432
Epoch 1/1... Discriminator Loss: 1.4792... Generator Loss: 0.5072
Epoch 1/1... Discriminator Loss: 1.1288... Generator Loss: 1.1767
Epoch 1/1... Discriminator Loss: 1.2302... Generator Loss: 0.7149
Epoch 1/1... Discriminator Loss: 1.2391... Generator Loss: 1.0119
Epoch 1/1... Discriminator Loss: 1.4311... Generator Loss: 0.3931
Epoch 1/1... Discriminator Loss: 1.1182... Generator Loss: 0.8438
Epoch 1/1... Discriminator Loss: 0.9519... Generator Loss: 1.5982
Epoch 1/1... Discriminator Loss: 1.3952... Generator Loss: 0.5912
Epoch 1/1... Discriminator Loss: 1.1090... Generator Loss: 1.1946
Epoch 1/1... Discriminator Loss: 1.0418... Generator Loss: 0.8164
Epoch 1/1... Discriminator Loss: 1.2923... Generator Loss: 0.7804
Epoch 1/1... Discriminator Loss: 1.2343... Generator Loss: 0.8855
Epoch 1/1... Discriminator Loss: 1.3374... Generator Loss: 0.7166
Epoch 1/1... Discriminator Loss: 1.2146... Generator Loss: 1.3011
Epoch 1/1... Discriminator Loss: 0.9859... Generator Loss: 1.6750
Epoch 1/1... Discriminator Loss: 1.2771... Generator Loss: 0.9573
Epoch 1/1... Discriminator Loss: 1.1953... Generator Loss: 0.8934
Epoch 1/1... Discriminator Loss: 1.1964... Generator Loss: 0.7951
Epoch 1/1... Discriminator Loss: 1.0769... Generator Loss: 0.9720
Epoch 1/1... Discriminator Loss: 1.2595... Generator Loss: 1.1431
Epoch 1/1... Discriminator Loss: 1.1286... Generator Loss: 0.7492
Epoch 1/1... Discriminator Loss: 1.2696... Generator Loss: 0.6504
Epoch 1/1... Discriminator Loss: 1.3660... Generator Loss: 1.3607
Epoch 1/1... Discriminator Loss: 1.3689... Generator Loss: 1.2629
Epoch 1/1... Discriminator Loss: 0.9097... Generator Loss: 1.1065
Epoch 1/1... Discriminator Loss: 1.2179... Generator Loss: 1.0788
Epoch 1/1... Discriminator Loss: 1.2727... Generator Loss: 0.9489
Epoch 1/1... Discriminator Loss: 1.1591... Generator Loss: 1.2088
Epoch 1/1... Discriminator Loss: 1.0120... Generator Loss: 1.1748
Epoch 1/1... Discriminator Loss: 1.0483... Generator Loss: 1.6809
Epoch 1/1... Discriminator Loss: 1.3569... Generator Loss: 0.5178
Epoch 1/1... Discriminator Loss: 1.1755... Generator Loss: 0.7398
Epoch 1/1... Discriminator Loss: 1.0492... Generator Loss: 1.7077
Epoch 1/1... Discriminator Loss: 1.2183... Generator Loss: 0.6420
Epoch 1/1... Discriminator Loss: 1.0436... Generator Loss: 1.0064
Epoch 1/1... Discriminator Loss: 1.1967... Generator Loss: 0.9841
Epoch 1/1... Discriminator Loss: 0.9700... Generator Loss: 1.8788
Epoch 1/1... Discriminator Loss: 1.2381... Generator Loss: 0.7539
Epoch 1/1... Discriminator Loss: 1.0696... Generator Loss: 1.6030
Epoch 1/1... Discriminator Loss: 0.9627... Generator Loss: 0.9914
Epoch 1/1... Discriminator Loss: 1.0875... Generator Loss: 1.2239
Epoch 1/1... Discriminator Loss: 0.9975... Generator Loss: 1.0065
Epoch 1/1... Discriminator Loss: 1.2416... Generator Loss: 0.8931
Epoch 1/1... Discriminator Loss: 1.2060... Generator Loss: 0.7942
Epoch 1/1... Discriminator Loss: 1.0672... Generator Loss: 0.9006
Epoch 1/1... Discriminator Loss: 1.1566... Generator Loss: 0.8774
Epoch 1/1... Discriminator Loss: 1.3155... Generator Loss: 0.7734
Epoch 1/1... Discriminator Loss: 1.1355... Generator Loss: 0.8136
Epoch 1/1... Discriminator Loss: 1.0266... Generator Loss: 1.3058
Epoch 1/1... Discriminator Loss: 1.0853... Generator Loss: 0.8415
Epoch 1/1... Discriminator Loss: 1.0569... Generator Loss: 0.9843
Epoch 1/1... Discriminator Loss: 1.0769... Generator Loss: 1.1444
Epoch 1/1... Discriminator Loss: 1.1138... Generator Loss: 1.2956
Epoch 1/1... Discriminator Loss: 1.3505... Generator Loss: 0.5107
Epoch 1/1... Discriminator Loss: 1.1247... Generator Loss: 1.0559
Epoch 1/1... Discriminator Loss: 1.2096... Generator Loss: 1.1778
Epoch 1/1... Discriminator Loss: 1.2221... Generator Loss: 1.4104
Epoch 1/1... Discriminator Loss: 1.1750... Generator Loss: 1.3431
Epoch 1/1... Discriminator Loss: 1.0242... Generator Loss: 0.9774
Epoch 1/1... Discriminator Loss: 1.2568... Generator Loss: 1.5806
Epoch 1/1... Discriminator Loss: 1.2557... Generator Loss: 0.7275
Epoch 1/1... Discriminator Loss: 1.0204... Generator Loss: 1.2960
Epoch 1/1... Discriminator Loss: 1.0809... Generator Loss: 1.2660
Epoch 1/1... Discriminator Loss: 0.8888... Generator Loss: 1.2882
Epoch 1/1... Discriminator Loss: 1.2452... Generator Loss: 1.2517
Epoch 1/1... Discriminator Loss: 1.2338... Generator Loss: 0.7696
Epoch 1/1... Discriminator Loss: 1.0090... Generator Loss: 1.3685
Epoch 1/1... Discriminator Loss: 0.9853... Generator Loss: 1.0387
Epoch 1/1... Discriminator Loss: 1.0266... Generator Loss: 1.3982
Epoch 1/1... Discriminator Loss: 0.8773... Generator Loss: 1.3215
Epoch 1/1... Discriminator Loss: 1.1577... Generator Loss: 0.8888
Epoch 1/1... Discriminator Loss: 0.9598... Generator Loss: 1.1420
Epoch 1/1... Discriminator Loss: 1.0994... Generator Loss: 1.1135
Epoch 1/1... Discriminator Loss: 1.2212... Generator Loss: 1.7441
Epoch 1/1... Discriminator Loss: 1.2927... Generator Loss: 0.6361
Epoch 1/1... Discriminator Loss: 1.0556... Generator Loss: 0.8062
Epoch 1/1... Discriminator Loss: 1.2748... Generator Loss: 0.8349
Epoch 1/1... Discriminator Loss: 1.1264... Generator Loss: 0.8452
Epoch 1/1... Discriminator Loss: 1.1694... Generator Loss: 1.1098
Epoch 1/1... Discriminator Loss: 1.0272... Generator Loss: 1.2260
Epoch 1/1... Discriminator Loss: 0.7808... Generator Loss: 1.3428
Epoch 1/1... Discriminator Loss: 1.1074... Generator Loss: 0.7245
Epoch 1/1... Discriminator Loss: 1.0042... Generator Loss: 0.8819
Epoch 1/1... Discriminator Loss: 1.2473... Generator Loss: 0.6082
Epoch 1/1... Discriminator Loss: 1.0982... Generator Loss: 1.0641
Epoch 1/1... Discriminator Loss: 1.0027... Generator Loss: 1.4945
Epoch 1/1... Discriminator Loss: 1.0687... Generator Loss: 1.2874
Epoch 1/1... Discriminator Loss: 1.2344... Generator Loss: 0.6667
Epoch 1/1... Discriminator Loss: 1.1581... Generator Loss: 0.8169
Epoch 1/1... Discriminator Loss: 1.1637... Generator Loss: 0.8262
Epoch 1/1... Discriminator Loss: 1.1724... Generator Loss: 0.6661
Epoch 1/1... Discriminator Loss: 1.3665... Generator Loss: 0.6816
Epoch 1/1... Discriminator Loss: 1.0035... Generator Loss: 0.7713
Epoch 1/1... Discriminator Loss: 1.3415... Generator Loss: 0.6136
Epoch 1/1... Discriminator Loss: 1.1890... Generator Loss: 0.8087
Epoch 1/1... Discriminator Loss: 1.1686... Generator Loss: 0.9951
Epoch 1/1... Discriminator Loss: 0.7978... Generator Loss: 1.1914
Epoch 1/1... Discriminator Loss: 1.1704... Generator Loss: 1.2147
Epoch 1/1... Discriminator Loss: 1.4385... Generator Loss: 0.4635
Epoch 1/1... Discriminator Loss: 1.0180... Generator Loss: 1.3497
Epoch 1/1... Discriminator Loss: 1.4893... Generator Loss: 0.7710
Epoch 1/1... Discriminator Loss: 1.1475... Generator Loss: 1.0491
Epoch 1/1... Discriminator Loss: 1.1632... Generator Loss: 0.7249
Epoch 1/1... Discriminator Loss: 1.1548... Generator Loss: 1.4555
Epoch 1/1... Discriminator Loss: 1.1882... Generator Loss: 0.9287
Epoch 1/1... Discriminator Loss: 1.2505... Generator Loss: 0.7022
Epoch 1/1... Discriminator Loss: 0.9744... Generator Loss: 1.4632
Epoch 1/1... Discriminator Loss: 0.9843... Generator Loss: 1.3761
Epoch 1/1... Discriminator Loss: 1.0713... Generator Loss: 0.8406
Epoch 1/1... Discriminator Loss: 1.2572... Generator Loss: 0.5444
Epoch 1/1... Discriminator Loss: 1.1647... Generator Loss: 0.9088
Epoch 1/1... Discriminator Loss: 0.9730... Generator Loss: 1.4299
Epoch 1/1... Discriminator Loss: 1.2193... Generator Loss: 0.7368
Epoch 1/1... Discriminator Loss: 0.8635... Generator Loss: 1.6551
Epoch 1/1... Discriminator Loss: 0.9665... Generator Loss: 1.5496
Epoch 1/1... Discriminator Loss: 1.1349... Generator Loss: 1.0533
Epoch 1/1... Discriminator Loss: 0.9386... Generator Loss: 1.4922
Epoch 1/1... Discriminator Loss: 1.2047... Generator Loss: 0.7604
Epoch 1/1... Discriminator Loss: 1.1368... Generator Loss: 1.0866
Epoch 1/1... Discriminator Loss: 1.4095... Generator Loss: 0.5719
Epoch 1/1... Discriminator Loss: 1.2103... Generator Loss: 0.8656
Epoch 1/1... Discriminator Loss: 1.0154... Generator Loss: 0.8154
Epoch 1/1... Discriminator Loss: 1.1109... Generator Loss: 0.7861
Epoch 1/1... Discriminator Loss: 1.0327... Generator Loss: 0.9083
Epoch 1/1... Discriminator Loss: 1.3104... Generator Loss: 0.9293
Epoch 1/1... Discriminator Loss: 1.1256... Generator Loss: 1.4349
Epoch 1/1... Discriminator Loss: 1.0525... Generator Loss: 1.1944
Epoch 1/1... Discriminator Loss: 1.2141... Generator Loss: 0.7111
Epoch 1/1... Discriminator Loss: 1.0596... Generator Loss: 1.2683
Epoch 1/1... Discriminator Loss: 1.2019... Generator Loss: 0.8374
Epoch 1/1... Discriminator Loss: 1.0642... Generator Loss: 0.9963
Epoch 1/1... Discriminator Loss: 1.3888... Generator Loss: 0.7213
Epoch 1/1... Discriminator Loss: 1.0624... Generator Loss: 0.9381
Epoch 1/1... Discriminator Loss: 0.8936... Generator Loss: 1.6317
Epoch 1/1... Discriminator Loss: 1.1584... Generator Loss: 0.8056
Epoch 1/1... Discriminator Loss: 1.0131... Generator Loss: 1.2988
Epoch 1/1... Discriminator Loss: 0.8671... Generator Loss: 1.6526
Epoch 1/1... Discriminator Loss: 0.9003... Generator Loss: 1.0048
Epoch 1/1... Discriminator Loss: 0.9594... Generator Loss: 1.1760
Epoch 1/1... Discriminator Loss: 1.1273... Generator Loss: 0.8871
Epoch 1/1... Discriminator Loss: 1.0189... Generator Loss: 0.8402
Epoch 1/1... Discriminator Loss: 1.0564... Generator Loss: 1.4343
Epoch 1/1... Discriminator Loss: 1.0633... Generator Loss: 1.0229
Epoch 1/1... Discriminator Loss: 1.3254... Generator Loss: 0.6678
Epoch 1/1... Discriminator Loss: 1.1143... Generator Loss: 0.8355
Epoch 1/1... Discriminator Loss: 1.0952... Generator Loss: 0.8677
Epoch 1/1... Discriminator Loss: 1.3514... Generator Loss: 0.7030
Epoch 1/1... Discriminator Loss: 1.3096... Generator Loss: 0.5287
Epoch 1/1... Discriminator Loss: 0.9536... Generator Loss: 1.6817
Epoch 1/1... Discriminator Loss: 1.2054... Generator Loss: 0.9214
Epoch 1/1... Discriminator Loss: 1.0002... Generator Loss: 0.9883
Epoch 1/1... Discriminator Loss: 1.2958... Generator Loss: 1.3652
Epoch 1/1... Discriminator Loss: 1.1250... Generator Loss: 1.0648
Epoch 1/1... Discriminator Loss: 1.4499... Generator Loss: 0.4378
Epoch 1/1... Discriminator Loss: 1.0980... Generator Loss: 1.5959
Epoch 1/1... Discriminator Loss: 1.5767... Generator Loss: 0.4185
Epoch 1/1... Discriminator Loss: 1.2565... Generator Loss: 0.6735
Epoch 1/1... Discriminator Loss: 1.1393... Generator Loss: 0.8700
Epoch 1/1... Discriminator Loss: 1.3948... Generator Loss: 0.5374
Epoch 1/1... Discriminator Loss: 1.3732... Generator Loss: 0.7487
Epoch 1/1... Discriminator Loss: 1.1778... Generator Loss: 1.0799
Epoch 1/1... Discriminator Loss: 1.5276... Generator Loss: 0.4502
Epoch 1/1... Discriminator Loss: 1.2124... Generator Loss: 0.6437
Epoch 1/1... Discriminator Loss: 1.2041... Generator Loss: 0.8937
Epoch 1/1... Discriminator Loss: 1.3303... Generator Loss: 0.7662
Epoch 1/1... Discriminator Loss: 1.2312... Generator Loss: 1.3813
Epoch 1/1... Discriminator Loss: 1.0514... Generator Loss: 1.0349
Epoch 1/1... Discriminator Loss: 1.0113... Generator Loss: 0.9637
Epoch 1/1... Discriminator Loss: 1.0554... Generator Loss: 0.9635
Epoch 1/1... Discriminator Loss: 0.8753... Generator Loss: 1.8234
Epoch 1/1... Discriminator Loss: 1.1648... Generator Loss: 0.8786
Epoch 1/1... Discriminator Loss: 1.2995... Generator Loss: 1.4516
Epoch 1/1... Discriminator Loss: 1.0472... Generator Loss: 1.2420
Epoch 1/1... Discriminator Loss: 0.9662... Generator Loss: 1.2343
Epoch 1/1... Discriminator Loss: 1.0301... Generator Loss: 0.9170
Epoch 1/1... Discriminator Loss: 1.1005... Generator Loss: 1.2354
Epoch 1/1... Discriminator Loss: 1.0516... Generator Loss: 0.9377
Epoch 1/1... Discriminator Loss: 1.2082... Generator Loss: 0.7734
Epoch 1/1... Discriminator Loss: 1.0296... Generator Loss: 0.9129
Epoch 1/1... Discriminator Loss: 1.2380... Generator Loss: 0.8464
Epoch 1/1... Discriminator Loss: 1.0639... Generator Loss: 0.9145
Epoch 1/1... Discriminator Loss: 1.1949... Generator Loss: 0.8317
Epoch 1/1... Discriminator Loss: 1.4299... Generator Loss: 0.6244
Epoch 1/1... Discriminator Loss: 1.1139... Generator Loss: 0.8576
Epoch 1/1... Discriminator Loss: 0.9991... Generator Loss: 0.9462
Epoch 1/1... Discriminator Loss: 1.0518... Generator Loss: 1.0666
Epoch 1/1... Discriminator Loss: 1.2326... Generator Loss: 1.1462
Epoch 1/1... Discriminator Loss: 1.1993... Generator Loss: 0.6151
Epoch 1/1... Discriminator Loss: 1.2972... Generator Loss: 1.6149
Epoch 1/1... Discriminator Loss: 0.9157... Generator Loss: 0.8592
Epoch 1/1... Discriminator Loss: 0.8704... Generator Loss: 1.0290
Epoch 1/1... Discriminator Loss: 1.1158... Generator Loss: 0.9700
Epoch 1/1... Discriminator Loss: 1.5304... Generator Loss: 0.5323
Epoch 1/1... Discriminator Loss: 0.7223... Generator Loss: 1.4400
Epoch 1/1... Discriminator Loss: 0.9446... Generator Loss: 0.7690
Epoch 1/1... Discriminator Loss: 0.9530... Generator Loss: 0.9460
Epoch 1/1... Discriminator Loss: 1.4382... Generator Loss: 0.5321
Epoch 1/1... Discriminator Loss: 1.0143... Generator Loss: 1.0614
Epoch 1/1... Discriminator Loss: 1.0269... Generator Loss: 1.1299
Epoch 1/1... Discriminator Loss: 1.0345... Generator Loss: 0.8404
Epoch 1/1... Discriminator Loss: 1.2905... Generator Loss: 0.6554
Epoch 1/1... Discriminator Loss: 1.4830... Generator Loss: 1.6116
Epoch 1/1... Discriminator Loss: 1.0233... Generator Loss: 0.8212
Epoch 1/1... Discriminator Loss: 1.1323... Generator Loss: 0.7246
Epoch 1/1... Discriminator Loss: 1.0813... Generator Loss: 1.1761
Epoch 1/1... Discriminator Loss: 1.1378... Generator Loss: 0.8903
Epoch 1/1... Discriminator Loss: 1.1997... Generator Loss: 1.5903
Epoch 1/1... Discriminator Loss: 1.5147... Generator Loss: 0.5394
Epoch 1/1... Discriminator Loss: 1.3692... Generator Loss: 0.8173
Epoch 1/1... Discriminator Loss: 1.2326... Generator Loss: 1.8978
Epoch 1/1... Discriminator Loss: 1.2224... Generator Loss: 0.6746
Epoch 1/1... Discriminator Loss: 1.4598... Generator Loss: 0.5818
Epoch 1/1... Discriminator Loss: 0.7970... Generator Loss: 1.5498
Epoch 1/1... Discriminator Loss: 1.4356... Generator Loss: 0.6929
Epoch 1/1... Discriminator Loss: 0.9228... Generator Loss: 1.3911
Epoch 1/1... Discriminator Loss: 1.0372... Generator Loss: 1.0003
Epoch 1/1... Discriminator Loss: 0.9807... Generator Loss: 1.2248
Epoch 1/1... Discriminator Loss: 0.9756... Generator Loss: 1.0609
Epoch 1/1... Discriminator Loss: 1.1152... Generator Loss: 1.0580
Epoch 1/1... Discriminator Loss: 0.9854... Generator Loss: 1.4311
Epoch 1/1... Discriminator Loss: 0.8755... Generator Loss: 1.4904
Epoch 1/1... Discriminator Loss: 1.1609... Generator Loss: 0.9167
Epoch 1/1... Discriminator Loss: 0.9463... Generator Loss: 1.2836
Epoch 1/1... Discriminator Loss: 1.6452... Generator Loss: 1.4325
Epoch 1/1... Discriminator Loss: 1.1406... Generator Loss: 0.6935
Epoch 1/1... Discriminator Loss: 1.3062... Generator Loss: 1.1003
Epoch 1/1... Discriminator Loss: 0.9340... Generator Loss: 1.8992
Epoch 1/1... Discriminator Loss: 1.2853... Generator Loss: 0.6746
Epoch 1/1... Discriminator Loss: 1.4015... Generator Loss: 0.5282
Epoch 1/1... Discriminator Loss: 1.0920... Generator Loss: 1.5174
Epoch 1/1... Discriminator Loss: 1.1153... Generator Loss: 2.0290
Epoch 1/1... Discriminator Loss: 1.4119... Generator Loss: 0.9102
Epoch 1/1... Discriminator Loss: 1.3405... Generator Loss: 0.6448
Epoch 1/1... Discriminator Loss: 1.1022... Generator Loss: 1.2389
Epoch 1/1... Discriminator Loss: 0.9758... Generator Loss: 1.1647
Epoch 1/1... Discriminator Loss: 1.2125... Generator Loss: 0.6266
Epoch 1/1... Discriminator Loss: 1.0660... Generator Loss: 1.8579
Epoch 1/1... Discriminator Loss: 1.3571... Generator Loss: 0.8037
Epoch 1/1... Discriminator Loss: 1.5299... Generator Loss: 1.6137
Epoch 1/1... Discriminator Loss: 0.9037... Generator Loss: 1.1215
Epoch 1/1... Discriminator Loss: 1.2410... Generator Loss: 0.7821
Epoch 1/1... Discriminator Loss: 0.9307... Generator Loss: 1.0675
Epoch 1/1... Discriminator Loss: 1.2351... Generator Loss: 0.6979
Epoch 1/1... Discriminator Loss: 1.1534... Generator Loss: 0.6928
Epoch 1/1... Discriminator Loss: 1.4324... Generator Loss: 0.6246
Epoch 1/1... Discriminator Loss: 1.1144... Generator Loss: 0.9349
Epoch 1/1... Discriminator Loss: 1.1992... Generator Loss: 0.8988
Epoch 1/1... Discriminator Loss: 1.1440... Generator Loss: 1.2988
Epoch 1/1... Discriminator Loss: 1.2719... Generator Loss: 0.7008
Epoch 1/1... Discriminator Loss: 0.9514... Generator Loss: 1.1349
Epoch 1/1... Discriminator Loss: 1.1166... Generator Loss: 1.1963
Epoch 1/1... Discriminator Loss: 1.1511... Generator Loss: 0.7467
Epoch 1/1... Discriminator Loss: 1.2413... Generator Loss: 1.1434
Epoch 1/1... Discriminator Loss: 0.8705... Generator Loss: 1.1544
Epoch 1/1... Discriminator Loss: 1.0749... Generator Loss: 0.8229
Epoch 1/1... Discriminator Loss: 1.0460... Generator Loss: 1.0009
Epoch 1/1... Discriminator Loss: 0.9832... Generator Loss: 1.9799
Epoch 1/1... Discriminator Loss: 1.0976... Generator Loss: 0.6278
Epoch 1/1... Discriminator Loss: 0.8317... Generator Loss: 1.0118
Epoch 1/1... Discriminator Loss: 0.8651... Generator Loss: 1.0476
Epoch 1/1... Discriminator Loss: 0.8217... Generator Loss: 1.3985
Epoch 1/1... Discriminator Loss: 1.1908... Generator Loss: 1.6279
Epoch 1/1... Discriminator Loss: 1.1094... Generator Loss: 0.8991
Epoch 1/1... Discriminator Loss: 1.2395... Generator Loss: 1.1155
Epoch 1/1... Discriminator Loss: 1.3450... Generator Loss: 0.6266
Epoch 1/1... Discriminator Loss: 1.1501... Generator Loss: 1.0365
Epoch 1/1... Discriminator Loss: 0.9325... Generator Loss: 1.0533
Epoch 1/1... Discriminator Loss: 0.8772... Generator Loss: 1.3739
Epoch 1/1... Discriminator Loss: 1.0227... Generator Loss: 0.8725
Epoch 1/1... Discriminator Loss: 0.8663... Generator Loss: 0.9815
Epoch 1/1... Discriminator Loss: 0.9963... Generator Loss: 1.1007
Epoch 1/1... Discriminator Loss: 1.3812... Generator Loss: 0.6516
Epoch 1/1... Discriminator Loss: 1.1492... Generator Loss: 0.9326
Epoch 1/1... Discriminator Loss: 0.9385... Generator Loss: 1.5323
Epoch 1/1... Discriminator Loss: 1.2151... Generator Loss: 1.1611
Epoch 1/1... Discriminator Loss: 1.0291... Generator Loss: 0.7255
Epoch 1/1... Discriminator Loss: 0.8276... Generator Loss: 0.9908
Epoch 1/1... Discriminator Loss: 1.7168... Generator Loss: 0.2735
Epoch 1/1... Discriminator Loss: 1.2015... Generator Loss: 0.5278
Epoch 1/1... Discriminator Loss: 0.8463... Generator Loss: 1.4658
Epoch 1/1... Discriminator Loss: 1.1315... Generator Loss: 0.8270
Epoch 1/1... Discriminator Loss: 1.5327... Generator Loss: 1.0290
Epoch 1/1... Discriminator Loss: 0.9610... Generator Loss: 0.9487
Epoch 1/1... Discriminator Loss: 1.2025... Generator Loss: 0.7364
Epoch 1/1... Discriminator Loss: 1.0282... Generator Loss: 0.8111
Epoch 1/1... Discriminator Loss: 0.7536... Generator Loss: 1.1704
Epoch 1/1... Discriminator Loss: 1.2562... Generator Loss: 0.6907
Epoch 1/1... Discriminator Loss: 0.9698... Generator Loss: 1.7347
Epoch 1/1... Discriminator Loss: 1.4295... Generator Loss: 0.4442
Epoch 1/1... Discriminator Loss: 1.4767... Generator Loss: 0.6855
Epoch 1/1... Discriminator Loss: 1.2417... Generator Loss: 1.0908
Epoch 1/1... Discriminator Loss: 1.3396... Generator Loss: 1.9779
Epoch 1/1... Discriminator Loss: 0.8832... Generator Loss: 1.0105
Epoch 1/1... Discriminator Loss: 0.9355... Generator Loss: 1.1774
Epoch 1/1... Discriminator Loss: 0.8872... Generator Loss: 0.8388
Epoch 1/1... Discriminator Loss: 1.1600... Generator Loss: 1.2796
Epoch 1/1... Discriminator Loss: 0.8288... Generator Loss: 1.5262
Epoch 1/1... Discriminator Loss: 1.4703... Generator Loss: 0.7977
Epoch 1/1... Discriminator Loss: 0.7455... Generator Loss: 1.1533
Epoch 1/1... Discriminator Loss: 1.3055... Generator Loss: 1.2679
Epoch 1/1... Discriminator Loss: 0.9389... Generator Loss: 1.1871
Epoch 1/1... Discriminator Loss: 0.9657... Generator Loss: 1.2020
Epoch 1/1... Discriminator Loss: 1.1880... Generator Loss: 0.8972
Epoch 1/1... Discriminator Loss: 1.4504... Generator Loss: 1.0781
Epoch 1/1... Discriminator Loss: 0.8968... Generator Loss: 1.5905
Epoch 1/1... Discriminator Loss: 1.1668... Generator Loss: 0.6160
Epoch 1/1... Discriminator Loss: 0.8955... Generator Loss: 1.0410
Epoch 1/1... Discriminator Loss: 1.4212... Generator Loss: 0.8351
Epoch 1/1... Discriminator Loss: 1.7482... Generator Loss: 0.5279
Epoch 1/1... Discriminator Loss: 0.9907... Generator Loss: 0.7739
Epoch 1/1... Discriminator Loss: 0.8991... Generator Loss: 1.1776
Epoch 1/1... Discriminator Loss: 0.8037... Generator Loss: 1.2862
Epoch 1/1... Discriminator Loss: 0.9892... Generator Loss: 1.2791
Epoch 1/1... Discriminator Loss: 1.1646... Generator Loss: 1.4861
Epoch 1/1... Discriminator Loss: 1.2055... Generator Loss: 0.9627
Epoch 1/1... Discriminator Loss: 1.1189... Generator Loss: 0.7871
Epoch 1/1... Discriminator Loss: 1.1260... Generator Loss: 0.7873
Epoch 1/1... Discriminator Loss: 1.0724... Generator Loss: 1.1546
Epoch 1/1... Discriminator Loss: 1.0234... Generator Loss: 0.8863
Epoch 1/1... Discriminator Loss: 0.9605... Generator Loss: 1.9836
Epoch 1/1... Discriminator Loss: 1.6173... Generator Loss: 0.5397
Epoch 1/1... Discriminator Loss: 0.9683... Generator Loss: 1.6289
Epoch 1/1... Discriminator Loss: 1.6263... Generator Loss: 0.4431
Epoch 1/1... Discriminator Loss: 1.0154... Generator Loss: 0.7758
Epoch 1/1... Discriminator Loss: 0.8742... Generator Loss: 1.2531
Epoch 1/1... Discriminator Loss: 0.8314... Generator Loss: 1.3608
Epoch 1/1... Discriminator Loss: 1.2381... Generator Loss: 0.6410
Epoch 1/1... Discriminator Loss: 0.8842... Generator Loss: 1.3157
Epoch 1/1... Discriminator Loss: 1.4691... Generator Loss: 0.6852
Epoch 1/1... Discriminator Loss: 1.1131... Generator Loss: 0.9949
Epoch 1/1... Discriminator Loss: 0.8430... Generator Loss: 1.6994
Epoch 1/1... Discriminator Loss: 1.1510... Generator Loss: 1.1062
Epoch 1/1... Discriminator Loss: 1.4146... Generator Loss: 0.6818
Epoch 1/1... Discriminator Loss: 1.1331... Generator Loss: 0.9890
Epoch 1/1... Discriminator Loss: 0.9765... Generator Loss: 0.8365
Epoch 1/1... Discriminator Loss: 1.0462... Generator Loss: 0.7548
Epoch 1/1... Discriminator Loss: 0.7529... Generator Loss: 1.4604
Epoch 1/1... Discriminator Loss: 1.1675... Generator Loss: 1.0566
Epoch 1/1... Discriminator Loss: 0.9893... Generator Loss: 1.9200
Epoch 1/1... Discriminator Loss: 0.9368... Generator Loss: 1.0945
Epoch 1/1... Discriminator Loss: 0.9122... Generator Loss: 1.3026
Epoch 1/1... Discriminator Loss: 0.9314... Generator Loss: 2.0767
Epoch 1/1... Discriminator Loss: 0.7757... Generator Loss: 1.8496
Epoch 1/1... Discriminator Loss: 1.2110... Generator Loss: 1.0173
Epoch 1/1... Discriminator Loss: 0.9135... Generator Loss: 1.1393
Epoch 1/1... Discriminator Loss: 1.6040... Generator Loss: 1.1490
Epoch 1/1... Discriminator Loss: 1.1837... Generator Loss: 0.7462
Epoch 1/1... Discriminator Loss: 1.3290... Generator Loss: 0.6531
Epoch 1/1... Discriminator Loss: 1.0769... Generator Loss: 1.3072
Epoch 1/1... Discriminator Loss: 0.8003... Generator Loss: 1.3800
Epoch 1/1... Discriminator Loss: 1.2425... Generator Loss: 1.3167
Epoch 1/1... Discriminator Loss: 1.1775... Generator Loss: 0.7560
Epoch 1/1... Discriminator Loss: 0.8786... Generator Loss: 1.3810
Epoch 1/1... Discriminator Loss: 1.0422... Generator Loss: 1.9772
Epoch 1/1... Discriminator Loss: 1.0361... Generator Loss: 1.0698
Epoch 1/1... Discriminator Loss: 0.9701... Generator Loss: 0.8843
Epoch 1/1... Discriminator Loss: 0.9875... Generator Loss: 1.2315
Epoch 1/1... Discriminator Loss: 0.8302... Generator Loss: 2.1283
Epoch 1/1... Discriminator Loss: 1.0948... Generator Loss: 0.9133
Epoch 1/1... Discriminator Loss: 1.1841... Generator Loss: 1.0464
Epoch 1/1... Discriminator Loss: 1.2577... Generator Loss: 0.9744
Epoch 1/1... Discriminator Loss: 0.7801... Generator Loss: 1.5208
Epoch 1/1... Discriminator Loss: 0.8992... Generator Loss: 0.8922
Epoch 1/1... Discriminator Loss: 1.1660... Generator Loss: 0.7950
Epoch 1/1... Discriminator Loss: 0.6509... Generator Loss: 1.9937

Submitting This Project

When submitting this project, make sure to run all the cells before saving the notebook. Save the notebook file as "dlnd_face_generation.ipynb" and save it as a HTML file under "File" -> "Download as". Include the "helper.py" and "problem_unittests.py" files in your submission.